103 results on '"Tayo BO"'
Search Results
2. Latent common genetic components of obesity traits
- Author
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Tayo, BO, Harders, R, Luke, A, Zhu, X, and Cooper, RS
- Published
- 2008
3. Defining the role of common variation in the genomic and biological architecture of adult human height
- Author
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Wood, Ar, Esko, T, Yang, J, Vedantam, S, Pers, Th, Gustafsson, S, Chu, Ay, Estrada, K, Luan, J, Kutalik, Z, Amin, N, Buchkovich, Ml, Croteau Chonka DC, Day, Fr, Duan, Y, Fall, T, Fehrmann, R, Ferreira, T, Jackson, Au, Karjalainen, J, Lo, Ks, Locke, Ae, Mägi, R, Mihailov, E, Porcu, E, Randall, Jc, Scherag, A, Vinkhuyzen, Aa, Westra, Hj, Winkler, Tw, Workalemahu, T, Zhao, Jh, Absher, D, Albrecht, E, Anderson, D, Baron, J, Beekman, M, Demirkan, A, Ehret, Gb, Feenstra, B, Feitosa, Mf, Fischer, K, Fraser, Rm, Goel, A, Gong, J, Justice, Ae, Kanoni, S, Kleber, Me, Kristiansson, K, Lim, U, Lotay, V, Lui, Jc, Mangino, M, Mateo Leach, I, Medina Gomez, C, Nalls, Ma, Nyholt, Dr, Palmer, Cd, Pasko, D, Pechlivanis, S, Prokopenko, I, Ried, Js, Ripke, S, Shungin, D, Stancáková, A, Strawbridge, Rj, Sung, Yj, Tanaka, T, Teumer, A, Trompet, S, van der Laan SW, van Setten, J, Van Vliet Ostaptchouk JV, Wang, Z, Yengo, L, Zhang, W, Afzal, U, Arnlöv, J, Arscott, Gm, Bandinelli, S, Barrett, A, Bellis, C, Bennett, Aj, Berne, C, Blüher, M, Bolton, Jl, Böttcher, Y, Boyd, Ha, Bruinenberg, M, Buckley, Bm, Buyske, S, Caspersen, Ih, Chines, Ps, Clarke, R, Claudi Boehm, S, Cooper, M, Daw, Ew, De Jong PA, Deelen, J, Delgado, G, Denny, Jc, Dhonukshe Rutten, R, Dimitriou, M, Doney, As, Dörr, M, Eklund, N, Eury, E, Folkersen, L, Garcia, Me, Geller, F, Giedraitis, V, Go, As, Grallert, H, Grammer, Tb, Gräßler, J, Grönberg, H, de Groot LC, Groves, Cj, Haessler, J, Hall, P, Haller, T, Hallmans, G, Hannemann, A, Hartman, Ca, Hassinen, M, Hayward, C, Heard Costa NL, Helmer, Q, Hemani, G, Henders, Ak, Hillege, Hl, Hlatky, Ma, Hoffmann, W, Hoffmann, P, Holmen, O, Houwing Duistermaat JJ, Illig, T, Isaacs, A, James, Al, Jeff, J, Johansen, B, Johansson, Å, Jolley, J, Juliusdottir, T, Junttila, J, Kho, An, Kinnunen, L, Klopp, N, Kocher, T, Kratzer, W, Lichtner, P, Lind, L, Lindström, J, Lobbens, S, Lorentzon, M, Lu, Y, Lyssenko, V, Magnusson, Pk, Mahajan, A, Maillard, M, Mcardle, Wl, Mckenzie, Ca, Mclachlan, S, Mclaren, Pj, Menni, C, Merger, S, Milani, L, Moayyeri, A, Monda, Kl, Morken, Ma, Müller, G, Müller Nurasyid, M, Musk, Aw, Narisu, N, Nauck, M, Nolte, Im, Nöthen, Mm, Oozageer, L, Pilz, S, Rayner, Nw, Renstrom, F, Robertson, Nr, Rose, Lm, Roussel, R, Sanna, S, Scharnagl, H, Scholtens, S, Schumacher, Fr, Schunkert, H, Scott, Ra, Sehmi, J, Seufferlein, T, Shi, J, Silventoinen, K, Smit, Jh, Smith, Av, Smolonska, J, Stanton, Av, Stirrups, K, Stott, Dj, Stringham, Hm, Sundström, J, Swertz, Ma, Syvänen, Ac, Tayo, Bo, Thorleifsson, G, Tyrer, Jp, van Dijk, S, van Schoor NM, van der Velde, N, van Heemst, D, van Oort FV, Vermeulen, Sh, Verweij, N, Vonk, Jm, Waite, Ll, Waldenberger, M, Wennauer, R, Wilkens, Lr, Willenborg, C, Wilsgaard, T, Wojczynski, Mk, Wong, A, Wright, Af, Zhang, Q, Arveiler, D, Bakker, Sj, Beilby, J, Bergman, Rn, Bergmann, S, Biffar, R, Blangero, J, Boomsma, Di, Bornstein, Sr, Bovet, P, Brambilla, P, Brown, Mj, Campbell, H, Caulfield, Mj, Chakravarti, A, Collins, R, Collins, Fs, Crawford, Dc, Cupples, La, Danesh, J, de Faire, U, den Ruijter HM, Erbel, R, Erdmann, J, Eriksson, Jg, Farrall, M, Ferrannini, Eleuterio, Ferrières, J, Ford, I, Forouhi, Ng, Forrester, T, Gansevoort, Rt, Gejman, Pv, Gieger, C, Golay, A, Gottesman, O, Gudnason, V, Gyllensten, U, Haas, Dw, Hall, As, Harris, Tb, Hattersley, At, Heath, Ac, Hengstenberg, C, Hicks, Aa, Hindorff, La, Hingorani, Ad, Hofman, A, Hovingh, Gk, Humphries, Se, Hunt, Sc, Hypponen, E, Jacobs, Kb, Jarvelin, Mr, Jousilahti, P, Jula, Am, Kaprio, J, Kastelein, Jj, Kayser, M, Kee, F, Keinanen Kiukaanniemi SM, Kiemeney, La, Kooner, Js, Kooperberg, C, Koskinen, S, Kovacs, P, Kraja, At, Kumari, M, Kuusisto, J, Lakka, Ta, Langenberg, C, Le Marchand, L, Lehtimäki, T, Lupoli, S, Madden, Pa, Männistö, S, Manunta, P, Marette, A, Matise, Tc, Mcknight, B, Meitinger, T, Moll, Fl, Montgomery, Gw, Morris, Ad, Morris, Ap, Murray, Jc, Nelis, M, Ohlsson, C, Oldehinkel, Aj, Ong, Kk, Ouwehand, Wh, Pasterkamp, G, Peters, A, Pramstaller, Pp, Price, Jf, Qi, L, Raitakari, Ot, Rankinen, T, Rao, Dc, Rice, Tk, Ritchie, M, Rudan, I, Salomaa, V, Samani, Nj, Saramies, J, Sarzynski, Ma, Schwarz, Pe, Sebert, S, Sever, P, Shuldiner, Ar, Sinisalo, J, Steinthorsdottir, V, Stolk, Rp, Tardif, Jc, Tönjes, A, Tremblay, A, Tremoli, E, Virtamo, J, Vohl, Mc, Electronic Medical Records, Genomics, Consortium, Migen, Consortium, Pagege, Consortium, LifeLines Cohort Study, Amouyel, P, Asselbergs, Fw, Assimes, Tl, Bochud, M, Boehm, Bo, Boerwinkle, E, Bottinger, Ep, Bouchard, C, Cauchi, S, Chambers, Jc, Chanock, Sj, Cooper, Rs, de Bakker PI, Dedoussis, G, Ferrucci, L, Franks, Pw, Froguel, P, Groop, Lc, Haiman, Ca, Hamsten, A, Hayes, Mg, Hui, J, Hunter, Dj, Hveem, K, Jukema, Jw, Kaplan, Rc, Kivimaki, M, Kuh, D, Laakso, M, Liu, Y, Martin, Ng, März, W, Melbye, M, Moebus, S, Munroe, Pb, Njølstad, I, Oostra, Ba, Palmer, Cn, Pedersen, Nl, Perola, M, Pérusse, L, Peters, U, Powell, Je, Power, C, Quertermous, T, Rauramaa, R, Reinmaa, E, Ridker, Pm, Rivadeneira, F, Rotter, Ji, Saaristo, Te, Saleheen, D, Schlessinger, D, Slagboom, Pe, Snieder, H, Spector, Td, Strauch, K, Stumvoll, M, Tuomilehto, J, Uusitupa, M, van der Harst, P, Völzke, H, Walker, M, Wareham, Nj, Watkins, H, Wichmann, He, Wilson, Jf, Zanen, P, Deloukas, P, Heid, Im, Lindgren, Cm, Mohlke, Kl, Speliotes, Ek, Thorsteinsdottir, U, Barroso, I, Fox, Cs, North, Ke, Strachan, Dp, Beckmann, Js, Berndt, Si, Boehnke, M, Borecki, Ib, Mccarthy, Mi, Metspalu, A, Stefansson, K, Uitterlinden, Ag, van Duijn CM, Franke, L, Willer, Cj, Price, Al, Lettre, G, Loos, Rj, Weedon, Mn, Ingelsson, E, O'Connell, Jr, Abecasis, Gr, Chasman, Di, Goddard, Me, Visscher, Pm, Hirschhorn, Jn, Frayling, T. M., Isotope Research, Interdisciplinary Centre Psychopathology and Emotion regulation (ICPE), Life Course Epidemiology (LCE), Damage and Repair in Cancer Development and Cancer Treatment (DARE), Guided Treatment in Optimal Selected Cancer Patients (GUTS), Groningen Institute for Gastro Intestinal Genetics and Immunology (3GI), Cardiovascular Centre (CVC), Groningen Institute for Organ Transplantation (GIOT), Lifestyle Medicine (LM), Groningen Kidney Center (GKC), Groningen Research Institute for Asthma and COPD (GRIAC), Center for Liver, Digestive and Metabolic Diseases (CLDM), Stem Cell Aging Leukemia and Lymphoma (SALL), Ehret, Georg Benedikt, Wood, A, Esko, T, Yang, J, Vedantam, S, Pers, T, Gustafsson, S, Chu, A, Estrada, K, Luan, J, Kutalik, Z, Amin, N, Buchkovich, M, Croteau Chonka, D, Day, F, Duan, Y, Fall, T, Fehrmann, R, Ferreira, T, Jackson, A, Karjalainen, J, Lo, K, Locke, A, Mägi, R, Mihailov, E, Porcu, E, Randall, J, Scherag, A, Vinkhuyzen, A, Westra, H, Winkler, T, Workalemahu, T, Zhao, J, Absher, D, Albrecht, E, Anderson, D, Baron, J, Beekman, M, Demirkan, A, Ehret, G, Feenstra, B, Feitosa, M, Fischer, K, Fraser, R, Goel, A, Gong, J, Justice, A, Kanoni, S, Kleber, M, Kristiansson, K, Lim, U, Lotay, V, Lui, J, Mangino, M, Leach, I, Medina Gomez, C, Nalls, M, Nyholt, D, Palmer, C, Pasko, D, Pechlivanis, S, Prokopenko, I, Ried, J, Ripke, S, Shungin, D, Stancáková, A, Strawbridge, R, Sung, Y, Tanaka, T, Teumer, A, Trompet, S, Van Der Laan, S, Van Setten, J, Van Vliet Ostaptchouk, J, Wang, Z, Yengo, L, Zhang, W, Afzal, U, Ärnlöv, J, Arscott, G, Bandinelli, S, Barrett, A, Bellis, C, Bennett, A, Berne, C, Blüher, M, Bolton, J, Böttcher, Y, Boyd, H, Bruinenberg, M, Buckley, B, Buyske, S, Caspersen, I, Chines, P, Clarke, R, Claudi Boehm, S, Cooper, M, Daw, E, De Jong, P, Deelen, J, Delgado, G, Denny, J, Dhonukshe Rutten, R, Dimitriou, M, Doney, A, Dörr, M, Eklund, N, Eury, E, Folkersen, L, Garcia, M, Geller, F, Giedraitis, V, Go, A, Grallert, H, Grammer, T, Gräßler, J, Grönberg, H, De Groot, L, Groves, C, Haessler, J, Hall, P, Haller, T, Hallmans, G, Hannemann, A, Hartman, C, Hassinen, M, Hayward, C, Heard Costa, N, Helmer, Q, Hemani, G, Henders, A, Hillege, H, Hlatky, M, Hoffmann, W, Hoffmann, P, Holmen, O, Houwing Duistermaat, J, Illig, T, Isaacs, A, James, A, Jeff, J, Johansen, B, Johansson, Å, Jolley, J, Juliusdottir, T, Junttila, J, Kho, A, Kinnunen, L, Klopp, N, Kocher, T, Kratzer, W, Lichtner, P, Lind, L, Lindström, J, Lobbens, S, Lorentzon, M, Lu, Y, Lyssenko, V, Magnusson, P, Mahajan, A, Maillard, M, Mcardle, W, Mckenzie, C, Mclachlan, S, Mclaren, P, Menni, C, Merger, S, Milani, L, Moayyeri, A, Monda, K, Morken, M, Müller, G, Müller Nurasyid, M, Musk, A, Narisu, N, Nauck, M, Nolte, I, Nöthen, M, Oozageer, L, Pilz, S, Rayner, N, Renstrom, F, Robertson, N, Rose, L, Roussel, R, Sanna, S, Scharnagl, H, Scholtens, S, Schumacher, F, Schunkert, H, Scott, R, Sehmi, J, Seufferlein, T, Shi, J, Silventoinen, K, Smit, J, Smith, A, Smolonska, J, Stanton, A, Stirrups, K, Stott, D, Stringham, H, Sundström, J, Swertz, M, Syvänen, A, Tayo, B, Thorleifsson, G, Tyrer, J, Van Dijk, S, Van Schoor, N, Van Der Velde, N, Van Heemst, D, Van Oort, F, Vermeulen, S, Verweij, N, Vonk, J, Waite, L, Waldenberger, M, Wennauer, R, Wilkens, L, Willenborg, C, Wilsgaard, T, Wojczynski, M, Wong, A, Wright, A, Zhang, Q, Arveiler, D, Bakker, S, Beilby, J, Bergman, R, Bergmann, S, Biffar, R, Blangero, J, Boomsma, D, Bornstein, S, Bovet, P, Brambilla, P, Brown, M, Campbell, H, Caulfield, M, Chakravarti, A, Collins, R, Collins, F, Crawford, D, Cupples, L, Danesh, J, De Faire, U, Den Ruijter, H, Erbel, R, Erdmann, J, Eriksson, J, Farrall, M, Ferrannini, E, Ferrières, J, Ford, I, Forouhi, N, Forrester, T, Gansevoort, R, Gejman, P, Gieger, C, Golay, A, Gottesman, O, Gudnason, V, Gyllensten, U, Haas, D, Hall, A, Harris, T, Hattersley, A, Heath, A, Hengstenberg, C, Hicks, A, Hindorff, L, Hingorani, A, Hofman, A, Hovingh, G, Humphries, S, Hunt, S, Hypponen, E, Jacobs, K, Jarvelin, M, Jousilahti, P, Jula, A, Kaprio, J, Kastelein, J, Kayser, M, Kee, F, Keinanen Kiukaanniemi, S, Kiemeney, L, Kooner, J, Kooperberg, C, Koskinen, S, Kovacs, P, Kraja, A, Kumari, M, Kuusisto, J, Lakka, T, Langenberg, C, Le Marchand, L, Lehtimäki, T, Lupoli, S, Madden, P, Männistö, S, Manunta, P, Marette, A, Matise, T, Mcknight, B, Meitinger, T, Moll, F, Montgomery, G, Morris, A, Murray, J, Nelis, M, Ohlsson, C, Oldehinkel, A, Ong, K, Ouwehand, W, Pasterkamp, G, Peters, A, Pramstaller, P, Price, J, Qi, L, Raitakari, O, Rankinen, T, Rao, D, Rice, T, Ritchie, M, Rudan, I, Salomaa, V, Samani, N, Saramies, J, Sarzynski, M, Schwarz, P, Sebert, S, Sever, P, Shuldiner, A, Sinisalo, J, Steinthorsdottir, V, Stolk, R, Tardif, J, Tönjes, A, Tremblay, A, Tremoli, E, Virtamo, J, Vohl, M, Amouyel, P, Asselbergs, F, Assimes, T, Bochud, M, Boehm, B, Boerwinkle, E, Bottinger, E, Bouchard, C, Cauchi, S, Chambers, J, Chanock, S, Cooper, R, De Bakker, P, Dedoussis, G, Ferrucci, L, Franks, P, Froguel, P, Groop, L, Haiman, C, Hamsten, A, Hayes, M, Hui, J, Hunter, D, Hveem, K, Jukema, J, Kaplan, R, Kivimaki, M, Kuh, D, Laakso, M, Liu, Y, Martin, N, März, W, Melbye, M, Moebus, S, Munroe, P, Njølstad, I, Oostra, B, Pedersen, N, Perola, M, Pérusse, L, Peters, U, Powell, J, Power, C, Quertermous, T, Rauramaa, R, Reinmaa, E, Ridker, P, Rivadeneira, F, Rotter, J, Saaristo, T, Saleheen, D, Schlessinger, D, Slagboom, P, Snieder, H, Spector, T, Strauch, K, Stumvoll, M, Tuomilehto, J, Uusitupa, M, Van Der Harst, P, Völzke, H, Walker, M, Wareham, N, Watkins, H, Wichmann, H, Wilson, J, Zanen, P, Deloukas, P, Heid, I, Lindgren, C, Mohlke, K, Speliotes, E, Thorsteinsdottir, U, Barroso, I, Fox, C, North, K, Strachan, D, Beckmann, J, Berndt, S, Boehnke, M, Borecki, I, Mccarthy, M, Metspalu, A, Stefansson, K, Uitterlinden, A, Van Duijn, C, Franke, L, Willer, C, Price, A, Lettre, G, Loos, R, Weedon, M, Ingelsson, E, O'Connell, J, Abecasis, G, Chasman, D, Goddard, M, Visscher, P, Hirschhorn, J, Frayling, T, Medical Research Council (MRC), APH - Amsterdam Public Health, AMS - Amsterdam Movement Sciences, Geriatrics, Other departments, ACS - Amsterdam Cardiovascular Sciences, Vascular Medicine, Genomics (eMEMERGEGE) Consortium, MIGen Consortium, PAGEGE Consortium, LifeLines Cohort Study, Electronic Medical, Records, McCarty, CA., Starren, J., Peissig, P., Berg, R., Rasmussen, L., Linneman, J., Miller, A., Choudary, V., Chen, L., Waudby, C., Kitchner, T., Reeser, J., Fost, N., Ritchie, M., Wilke, RA., Chisholm, RL., Avila, PC., Greenland, P., Hayes, M., Kho, A., Kibbe, WA., Lemke, AA., Lowe, WL., Smith, ME., Wolf, WA., Pacheco, JA., Thompson, WK., Humowiecki, J., Law, M., Chute, C., Kullo, I., Koenig, B., de Andrade, M., Bielinski, S., Pathak, J., Savova, G., Wu, J., Henriksen, J., Ding, K., Hart, L., Palbicki, J., Larson, EB., Newton, K., Ludman, E., Spangler, L., Hart, G., Carrell, D., Jarvik, G., Crane, P., Burke, W., Fullerton, SM., Trinidad, SB., Carlson, C., Hutchinson, F., McDavid, A., Roden, DM., Clayton, E., Haines, JL., Masys, DR., Churchill, LR., Cornfield, D., Crawford, D., Darbar, D., Denny, JC., Malin, BA., Ritchie, MD., Schildcrout, JS., Xu, H., Ramirez, AH., Basford, M., Pulley, J., Alizadeh, B., de Boer RA., Boezen, HM., Bruinenberg, M., Franke, L., van der Harst, P., Hillege, HL., van der Klauw MM., Navis, G., Ormel, J., Postma, DS., Rosmalen, JG., Slaets, JP., Snieder, H., Stolk, RP., Wolffenbuttel, BH., Wijmenga, C., Kathiresan, S., Voight, BF., Purcell, S., Musunuru, K., Ardissino, D., Mannucci, PM., Anand, S., Engert, JC., Samani, NJ., Schunkert, H., Erdmann, J., Reilly, MP., Rader, DJ., Morgan, T., Spertus, JA., Stoll, M., Girelli, D., McKeown, PP., Patterson, CC., Siscovick, DS., O'Donnell, CJ., Elosua, R., Peltonen, L., Salomaa, V., Schwartz, SM., Melander, O., Altshuler, D., Merlini, PA., Berzuini, C., Bernardinelli, L., Peyvandi, F., Tubaro, M., Celli, P., Ferrario, M., Fetiveau, R., Marziliano, N., Casari, G., Galli, M., Ribichini, F., Rossi, M., Bernardi, F., Zonzin, P., Piazza, A., Yee, J., Friedlander, Y., Marrugat, J., Lucas, G., Subirana, I., Sala, J., Ramos, R., Meigs, JB., Williams, G., Nathan, DM., MacRae, CA., Havulinna, AS., Berglund, G., Voight, B., Hirschhorn, JN., Asselta, R., Duga, S., Spreafico, M., Daly, MJ., Nemesh, J., Korn, JM., McCarroll, SA., Surti, A., Guiducci, C., Gianniny, L., Mirel, D., Parkin, M., Burtt, N., Gabriel, SB., Thompson, JR., Braund, PS., Wright, BJ., Balmforth, AJ., Ball, SG., Hall, AS., Schunkert, I., Linsel-Nitschke, P., Lieb, W., Ziegler, A., König, IR., Hengstenberg, C., Fischer, M., Stark, K., Grosshennig, A., Preuss, M., Wichmann, HE., Schreiber, S., Ouwehand, W., Deloukas, P., Scholz, M., Cambien, F., Goodall, A., Li, M., Chen, Z., Wilensky, R., Matthai, W., Qasim, A., Hakonarson, HH., Devaney, J., Burnett, MS., Pichard, AD., Kent, KM., Satler, L., Lindsay, JM., Waksman, R., Knouff, CW., Waterworth, DM., Walker, MC., Mooser, V., Epstein, SE., Scheffold, T., Berger, K., Huge, A., Martinelli, N., Olivieri, O., Corrocher, R., König, I., Hólm, H., Thorleifsson, G., Thorsteinsdottir, U., Stefansson, K., Do, R., Xie, C., Siscovick, D., Matise, T., Buyske, S., Higashio, J., Williams, R., Nato, A., Ambite, JL., Deelman, E., Manolio, T., Hindorff, L., North, KE., Heiss, G., Taylor, K., Franceschini, N., Avery, C., Graff, M., Lin, D., Quibrera, M., Cochran, B., Kao, L., Umans, J., Cole, S., MacCluer, J., Person, S., Pankow, J., Gross, M., Boerwinkle, E., Fornage, M., Durda, P., Jenny, N., Patsy, B., Arnold, A., Buzkova, P., Haines, J., Murdock, D., Glenn, K., Brown-Gentry, K., Thornton-Wells, T., Dumitrescu, L., Jeff, J., Bush, WS., Mitchell, SL., Goodloe, R., Wilson, S., Boston, J., Malinowski, J., Restrepo, N., Oetjens, M., Fowke, J., Zheng, W., Spencer, K., Pendergrass, S., Le Marchand£££Loïc£££ L., Wilkens, L., Park, L., Tiirikainen, M., Kolonel, L., Lim, U., Cheng, I., Wang, H., Shohet, R., Haiman, C., Stram, D., Henderson, B., Monroe, K., Schumacher, F., Kooperberg, C., Peters, U., Anderson, G., Prentice, R., LaCroix, A., Wu, C., Carty, C., Gong, J., Rosse, S., Young, A., Haessler, J., Kocarnik, J., Lin, Y., Jackson, R., Duggan, D., Kuller, L., Psychiatry, Epidemiology and Data Science, EMGO - Lifestyle, overweight and diabetes, Wood, Ar, Pers, Th, Chu, Ay, Buchkovich, Ml, CROTEAU CHONKA, Dc, Day, Fr, Jackson, Au, Locke, Ae, Randall, Jc, Vinkhuyzen, Aa, Westra, Hj, Winkler, Tw, Zhao, Jh, Ehret, Gb, Feitosa, Mf, Fraser, Rm, Justice, Ae, Kleber, Me, Lui, Jc, MATEO LEACH, I, MEDINA GOMEZ, C, Nalls, Ma, Nyholt, Dr, Palmer, Cd, Strawbridge, Rj, Sung, Yj, VAN DER LAAN, Sw, VAN SETTEN, J, VAN VLIET OSTAPTCHOUK, Jv, Arnlöv, J, Arscott, Gm, Bennett, Aj, Bolton, Jl, Boyd, Ha, Buckley, Bm, Caspersen, Ih, CLAUDI BOEHM, S, Daw, Ew, DE JONG, Pa, Denny, Jc, DHONUKSHE RUTTEN, R, Garcia, Me, Grammer, Tb, DE GROOT, Lc, Groves, Cj, Hartman, Ca, HEARD COSTA, Nl, Henders, Ak, Hillege, Hl, Hlatky, Ma, HOUWING DUISTERMAAT, Jj, James, Al, Johansson, A, Kho, An, Magnusson, Pk, Mcardle, Wl, Mckenzie, Ca, Mclaren, Pj, Monda, Kl, Morken, Ma, MÜLLER NURASYID, M, Musk, Aw, Nolte, Im, Nöthen, Mm, Rayner, Nw, Robertson, Nr, Rose, Lm, Schumacher, Fr, Scott, Ra, Smit, Jh, Smith, Av, Stanton, Av, Stott, Dj, Stringham, Hm, Swertz, Ma, Syvänen, Ac, Tayo, Bo, Tyrer, Jp, VAN DIJK, S, VAN SCHOOR, Nm, VAN DER VELDE, N, VAN HEEMST, D, VAN OORT, Fv, Vermeulen, Sh, Vonk, Jm, Waite, Ll, Wilkens, Lr, Wojczynski, Mk, Wright, Af, Bakker, Sj, Bergman, Rn, Boomsma, Di, Bornstein, Sr, Brown, Mj, Caulfield, Mj, Crawford, Dc, Cupples, La, DE FAIRE, U, DEN RUIJTER, Hm, Eriksson, Jg, Forouhi, Ng, Gansevoort, Rt, Gejman, Pv, Haas, Dw, Harris, Tb, Hattersley, At, Heath, Ac, Hicks, Aa, Hindorff, La, Hingorani, Ad, Hovingh, Gk, Humphries, Se, Hunt, Sc, Jacobs, Kb, Jarvelin, Mr, Jula, Am, Kastelein, Jj, KEINANEN KIUKAANNIEMI, Sm, Kiemeney, La, Kraja, At, Lakka, Ta, LE MARCHAND, L, Madden, Pa, Manunta, Paolo, Matise, Tc, Moll, Fl, Montgomery, Gw, Morris, Ad, Morris, Ap, Murray, Jc, Oldehinkel, Aj, Ong, Kk, Ouwehand, Wh, Pramstaller, Pp, Price, Jf, Raitakari, Ot, Rao, Dc, Rice, Tk, Samani, Nj, Sarzynski, Ma, Schwarz, Pe, Shuldiner, Ar, Stolk, Rp, Tardif, Jc, Vohl, Mc, ELECTRONIC MEDICAL RECORDS AND GENOMICS, Consortium, Migen, Consortium, Page, Consortium, LIFELINES COHORT, Study, Asselbergs, Fw, Assimes, Tl, Boehm, Bo, Bottinger, Ep, Chambers, Jc, Chanock, Sj, DE BAKKER, Pi, Franks, Pw, Groop, Lc, Haiman, Ca, Hayes, Mg, Hunter, Dj, Jukema, Jw, Kaplan, Rc, Martin, Ng, Munroe, Pb, Oostra, Ba, Palmer, Cn, Pedersen, Nl, Powell, Je, Ridker, Pm, Rotter, Ji, Saaristo, Te, Slagboom, Pe, Spector, Td, VAN DER HARST, P, Wareham, Nj, Wichmann, He, Wilson, Jf, Heid, Im, Lindgren, Cm, Mohlke, Kl, Speliotes, Ek, North, Ke, Strachan, Dp, Berndt, Si, Borecki, Ib, Mccarthy, Mi, Uitterlinden, Ag, VAN DUIJN, Cm, Willer, Cj, Price, Al, Loos, Rj, Weedon, Mn, O'Connell, Jr, Abecasis, Gr, Chasman, Di, Goddard, Me, Visscher, Pm, Hirschhorn, Jn, Frayling, Tm, Epidemiology, Surgery, Public Health, Internal Medicine, Erasmus MC other, Genetic Identification, Child and Adolescent Psychiatry / Psychology, Clinical Genetics, Biological Psychology, AIMMS, Functional Genomics, EMGO+ - Lifestyle, Overweight and Diabetes, Wood, AR, Vadantam, S, Hypponen, Elina, Frayling, TM, Wood A.R., Esko T., Yang J., Vedantam S., Pers T.H., Gustafsson S., Chu A.Y., Estrada K., Luan J., Kutalik Z., Amin N., Buchkovich M.L., Croteau-Chonka D.C., Day F.R., Duan Y., Fall T., Fehrmann R., Ferreira T., Jackson A.U., Karjalainen J., Lo K.S., Locke A.E., Magi R., Mihailov E., Porcu E., Randall J.C., Scherag A., Vinkhuyzen A.A.E., Westra H.-J., Winkler T.W., Workalemahu T., Zhao J.H., Absher D., Albrecht E., Anderson D., Baron J., Beekman M., Demirkan A., Ehret G.B., Feenstra B., Feitosa M.F., Fischer K., Fraser R.M., Goel A., Gong J., Justice A.E., Kanoni S., Kleber M.E., Kristiansson K., Lim U., Lotay V., Lui J.C., Mangino M., Leach I.M., Medina-Gomez C., Nalls M.A., Nyholt D.R., Palmer C.D., Pasko D., Pechlivanis S., Prokopenko I., Ried J.S., Ripke S., Shungin D., Stancakova A., Strawbridge R.J., Sung Y.J., Tanaka T., Teumer A., Trompet S., Van Der Laan S.W., Van Setten J., Van Vliet-Ostaptchouk J.V., Wang Z., Yengo L., Zhang W., Afzal U., Arnlov J., Arscott G.M., Bandinelli S., Barrett A., Bellis C., Bennett A.J., Berne C., Bluher M., Bolton J.L., Bottcher Y., Boyd H.A., Bruinenberg M., Buckley B.M., Buyske S., Caspersen I.H., Chines P.S., Clarke R., Claudi-Boehm S., Cooper M., Daw E.W., De Jong P.A., Deelen J., Delgado G., Denny J.C., Dhonukshe-Rutten R., Dimitriou M., Doney A.S.F., Dorr M., Eklund N., Eury E., Folkersen L., Garcia M.E., Geller F., Giedraitis V., Go A.S., Grallert H., Grammer T.B., Grassler J., Gronberg H., De Groot L.C.P.G.M., Groves C.J., Haessler J., Hall P., Haller T., Hallmans G., Hannemann A., Hartman C.A., Hassinen M., Hayward C., Heard-Costa N.L., Helmer Q., Hemani G., Henders A.K., Hillege H.L., Hlatky M.A., Hoffmann W., Hoffmann P., Holmen O., Houwing-Duistermaat J.J., Illig T., Isaacs A., James A.L., Jeff J., Johansen B., Johansson A., Jolley J., Juliusdottir T., Junttila J., Kho A.N., Kinnunen L., Klopp N., Kocher T., Kratzer W., Lichtner P., Lind L., Lindstrom J., Lobbens S., Lorentzon M., Lu Y., Lyssenko V., Magnusson P.K.E., Mahajan A., Maillard M., McArdle W.L., McKenzie C.A., McLachlan S., McLaren P.J., Menni C., Merger S., Milani L., Moayyeri A., Monda K.L., Morken M.A., Muller G., Muller-Nurasyid M., Musk A.W., Narisu N., Nauck M., Nolte I.M., Nothen M.M., Oozageer L., Pilz S., Rayner N.W., Renstrom F., Robertson N.R., Rose L.M., Roussel R., Sanna S., Scharnagl H., Scholtens S., Schumacher F.R., Schunkert H., Scott R.A., Sehmi J., Seufferlein T., Shi J., Silventoinen K., Smit J.H., Smith A.V., Smolonska J., Stanton A.V., Stirrups K., Stott D.J., Stringham H.M., Sundstrom J., Swertz M.A., Syvanen A.-C., Tayo B.O., Thorleifsson G., Tyrer J.P., Van Dijk S., Van Schoor N.M., Van Der Velde N., Van Heemst D., Van Oort F.V.A., Vermeulen S.H., Verweij N., Vonk J.M., Waite L.L., Waldenberger M., Wennauer R., Wilkens L.R., Willenborg C., Wilsgaard T., Wojczynski M.K., Wong A., Wright A.F., Zhang Q., Arveiler D., Bakker S.J.L., Beilby J., Bergman R.N., Bergmann S., Biffar R., Blangero J., Boomsma D.I., Bornstein S.R., Bovet P., Brambilla P., Brown M.J., Campbell H., Caulfield M.J., Chakravarti A., Collins R., Collins F.S., Crawford D.C., Cupples L.A., Danesh J., De Faire U., Den Ruijter H.M., Erbel R., Erdmann J., Eriksson J.G., Farrall M., Ferrannini E., Ferrieres J., Ford I., Forouhi N.G., Forrester T., Gansevoort R.T., Gejman P.V., Gieger C., Golay A., Gottesman O., Gudnason V., Gyllensten U., Haas D.W., Hall A.S., Harris T.B., Hattersley A.T., Heath A.C., Hengstenberg C., Hicks A.A., Hindorff L.A., Hingorani A.D., Hofman A., Hovingh G.K., Humphries S.E., Hunt S.C., Hypponen E., Jacobs K.B., Jarvelin M.-R., Jousilahti P., Jula A.M., Kaprio J., Kastelein J.J.P., Kayser M., Kee F., Keinanen-Kiukaanniemi S.M., Kiemeney L.A., Kooner J.S., Kooperberg C., Koskinen S., Kovacs P., Kraja A.T., Kumari M., Kuusisto J., Lakka T.A., Langenberg C., Le Marchand L., Lehtimaki T., Lupoli S., Madden P.A.F., Mannisto S., Manunta P., Marette A., Matise T.C., McKnight B., Meitinger T., Moll F.L., Montgomery G.W., Morris A.D., Morris A.P., Murray J.C., Nelis M., Ohlsson C., Oldehinkel A.J., Ong K.K., Ouwehand W.H., Pasterkamp G., Peters A., Pramstaller P.P., Price J.F., Qi L., Raitakari O.T., Rankinen T., Rao D.C., Rice T.K., Ritchie M., Rudan I., Salomaa V., Samani N.J., Saramies J., Sarzynski M.A., Schwarz P.E.H., Sebert S., Sever P., Shuldiner A.R., Sinisalo J., Steinthorsdottir V., Stolk R.P., Tardif J.-C., Tonjes A., Tremblay A., Tremoli E., Virtamo J., Vohl M.-C., Amouyel P., Asselbergs F.W., Assimes T.L., Bochud M., Boehm B.O., Boerwinkle E., Bottinger E.P., Bouchard C., Cauchi S., Chambers J.C., Chanock S.J., Cooper R.S., De Bakker P.I.W., Dedoussis G., Ferrucci L., Franks P.W., Froguel P., Groop L.C., Haiman C.A., Hamsten A., Hayes M.G., Hui J., Hunter D.J., Hveem K., Jukema J.W., Kaplan R.C., Kivimaki M., Kuh D., Laakso M., Liu Y., Martin N.G., Marz W., Melbye M., Moebus S., Munroe P.B., Njolstad I., Oostra B.A., Palmer C.N.A., Pedersen N.L., Perola M., Perusse L., Peters U., Powell J.E., Power C., Quertermous T., Rauramaa R., Reinmaa E., Ridker P.M., Rivadeneira F., Rotter J.I., Saaristo T.E., Saleheen D., Schlessinger D., Slagboom P.E., Snieder H., Spector T.D., Strauch K., Stumvoll M., Tuomilehto J., Uusitupa M., Van Der Harst P., Volzke H., Walker M., Wareham N.J., Watkins H., Wichmann H.-E., Wilson J.F., Zanen P., Deloukas P., Heid I.M., Lindgren C.M., Mohlke K.L., Speliotes E.K., Thorsteinsdottir U., Barroso I., Fox C.S., North K.E., Strachan D.P., Beckmann J.S., Berndt S.I., Boehnke M., Borecki I.B., McCarthy M.I., Metspalu A., Stefansson K., Uitterlinden A.G., Van Duijn C.M., Franke L., Willer C.J., Price A.L., Lettre G., Loos R.J.F., Weedon M.N., Ingelsson E., O'Connell J.R., Abecasis G.R., Chasman D.I., Goddard M.E., Visscher P.M., Hirschhorn J.N., and Frayling T.M.
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Netherlands Twin Register (NTR) ,BIO/12 - BIOCHIMICA CLINICA E BIOLOGIA MOLECOLARE CLINICA ,Electronic Medical Records and Genomics (eMEMERGEGE) Consortium ,Medizin ,Genome-wide association study ,Adult ,Analysis of Variance ,Body Height/genetics ,European Continental Ancestry Group/genetics ,Genetic Variation/genetics ,Genetics, Population ,Genome-Wide Association Study/methods ,Humans ,Oligonucleotide Array Sequence Analysis ,Polymorphism, Single Nucleotide/genetics ,heritability ,0302 clinical medicine ,Genome-wide ,SNPS ,snps ,Genetics & Heredity ,ddc:616 ,Genetics ,Medical And Health Sciences ,0303 health sciences ,education.field_of_study ,variants ,GENETIC-VARIATION ,Biological Sciences ,Urological cancers Radboud Institute for Health Sciences [Radboudumc 15] ,body height ,genetic-variation ,Life Sciences & Biomedicine ,Single Nucleotide/genetics ,Human ,European Continental Ancestry Group ,Population ,Single-nucleotide polymorphism ,Biology ,Polymorphism, Single Nucleotide ,Article ,White People ,NO ,complex traits ,03 medical and health sciences ,Genetic variation ,heritability, adult, height ,Polymorphism ,Human height ,PAGEGE Consortium ,education ,Gene ,VLAG ,030304 developmental biology ,Global Nutrition ,Wereldvoeding ,genome-wide association study ,Science & Technology ,Whites ,Oligonucleotide Array Sequence Analysi ,MUTATIONS ,COMPLEX TRAITS ,ta1184 ,Klinisk medicin ,population genetics ,Genetic Variation ,Heritability ,ta3121 ,mutations ,Genetic architecture ,Body Height ,genetic variation ,MIGen Consortium ,Inflammatory diseases Radboud Institute for Health Sciences [Radboudumc 5] ,Clinical Medicine ,030217 neurology & neurosurgery ,height ,LifeLines Cohort Study ,Developmental Biology ,Genome-Wide Association Study - Abstract
Item does not contain fulltext Using genome-wide data from 253,288 individuals, we identified 697 variants at genome-wide significance that together explained one-fifth of the heritability for adult height. By testing different numbers of variants in independent studies, we show that the most strongly associated approximately 2,000, approximately 3,700 and approximately 9,500 SNPs explained approximately 21%, approximately 24% and approximately 29% of phenotypic variance. Furthermore, all common variants together captured 60% of heritability. The 697 variants clustered in 423 loci were enriched for genes, pathways and tissue types known to be involved in growth and together implicated genes and pathways not highlighted in earlier efforts, such as signaling by fibroblast growth factors, WNT/beta-catenin and chondroitin sulfate-related genes. We identified several genes and pathways not previously connected with human skeletal growth, including mTOR, osteoglycin and binding of hyaluronic acid. Our results indicate a genetic architecture for human height that is characterized by a very large but finite number (thousands) of causal variants.
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- 2014
4. Novel genetic associations for blood pressure identified via gene-alcohol interaction in up to 570K individuals across multiple ancestries
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Feitosa, MF, Kraja, AT, Chasman, DI, Sung, YJ, Winkler, TW, Ntalla, I, Guo, X, Franceschini, N, Cheng, CY, Sim, X, Vojinovic, D, Marten, J, Musani, SK, Li, C, Bentley, AR, Brown, MR, Schwander, K, Richard, MA, Noordam, R, Aschard, H, Bartz, TM, Bielak, LF, Dorajoo, R, Fisher, V, Hartwig, FP, Horimoto, ARVR, Lohman, KK, Manning, AK, Rankinen, T, Smith, AV, Tajuddin, SM, Wojczynski, MK, Alver, M, Boissel, M, Cai, Q, Campbell, A, Chai, JF, Chen, X, Divers, J, Gao, C, Goel, A, Hagemeijer, Y, Harris, SE, He, M, Hsu, FC, Jackson, AU, Kähönen, M, Kasturiratne, A, Komulainen, P, Kühnel, B, Laguzzi, F, Luan, J, Matoba, N, Nolte, IM, Padmanabhan, S, Riaz, M, Rueedi, R, Robino, A, Said, MA, Scott, RA, Sofer, T, Stančáková, A, Takeuchi, F, Tayo, BO, Van Der Most, PJ, Varga, TV, Vitart, V, Wang, Y, Ware, EB, Warren, HR, Weiss, S, Wen, W, Yanek, LR, Zhang, W, Zhao, JH, Afaq, S, Amin, N, Amini, M, Arking, DE, Aung, T, and Boerwinkle, E
- Abstract
© 2018 Public Library of Science. All Rights Reserved. Heavy alcohol consumption is an established risk factor for hypertension; the mechanism by which alcohol consumption impact blood pressure (BP) regulation remains unknown. We hypothesized that a genome-wide association study accounting for gene-alcohol consumption interaction for BP might identify additional BP loci and contribute to the understanding of alcohol-related BP regulation. We conducted a large two-stage investigation incorporating joint testing of main genetic effects and single nucleotide variant (SNV)-alcohol consumption interactions. In Stage 1, genome-wide discovery meta-analyses in ≈131K individuals across several ancestry groups yielded 3, 514 SNVs (245 loci) with suggestive evidence of association (P < 1.0 × 10-5). In Stage 2, these SNVs were tested for independent external replication in ≈440K individuals across multiple ancestries. We identified and replicated (at Bonferroni correction threshold) five novel BP loci (380 SNVs in 21 genes) and 49 previously reported BP loci (2, 159 SNVs in 109 genes) in European ancestry, and in multi-ancestry meta-analyses (P < 5.0 × 10-8). For African ancestry samples, we detected 18 potentially novel BP loci (P < 5.0 × 10-8) in Stage 1 that warrant further replication. Additionally, correlated meta-analysis identified eight novel BP loci (11 genes). Several genes in these loci (e.g., PINX1, GATA4, BLK, FTO and GABBR2) have been previously reported to be associated with alcohol consumption. These findings provide insights into the role of alcohol consumption in the genetic architecture of hypertension.
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- 2018
5. Discovery and fine-mapping of adiposity loci using high density imputation of genome-wide association studies in individuals of African ancestry: African ancestry anthropometry genetics consortium
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Ng, MCY, Graff, M, Lu, Y, Justice, AE, Mudgal, P, Liu, CT, Young, K, Yanek, LR, Feitosa, MF, Wojczynski, MK, Rand, K, Brody, JA, Cade, BE, Dimitrov, L, Duan, Q, Guo, X, Lange, LA, Nalls, MA, Okut, H, Tajuddin, SM, Tayo, BO, Vedantam, S, Bradfield, JP, Chen, G, Chen, WM, Chesi, A, Irvin, MR, Padhukasahasram, B, Smith, JA, Zheng, W, Allison, MA, Ambrosone, CB, Bandera, EV, Bartz, TM, Berndt, SI, Bernstein, L, Blot, WJ, Bottinger, EP, Carpten, J, Chanock, SJ, Chen, YDI, Conti, DV, Cooper, RS, Fornage, M, Freedman, BI, Garcia, M, Goodman, PJ, Hsu, YHH, Hu, J, Huff, CD, Ingles, SA, John, EM, Kittles, R, Klein, E, Li, J, McKnight, B, Nayak, U, Nemesure, B, Ogunniyi, A, Olshan, A, Press, MF, Rohde, R, Rybicki, BA, Salako, B, Sanderson, M, Shao, Y, Siscovick, DS, Stanford, JL, Stevens, VL, Stram, A, Strom, SS, Vaidya, D, Witte, JS, Yao, J, Zhu, X, Ziegler, RG, Zonderman, AB, Adeyemo, A, Ambs, S, Cushman, M, Faul, JD, Hakonarson, H, Levin, AM, Nathanson, KL, and Ware, EB
- Abstract
© 2017 Public Library of Science. All rights reserved. Genome-wide association studies (GWAS) have identified >300 loci associated with measures of adiposity including body mass index (BMI) and waist-to-hip ratio (adjusted for BMI, WHRadjBMI), but few have been identified through screening of the African ancestry genomes. We performed large scale meta-analyses and replications in up to 52,895 individuals for BMI and up to 23,095 individuals for WHRadjBMIfrom the African Ancestry Anthropometry Genetics Consortium (AAAGC) using 1000 Genomes phase 1 imputed GWAS to improve coverage of both common and low frequency variants in the low linkage disequilibrium African ancestry genomes. In the sex-combined analyses, we identified one novel locus (TCF7L2/HABP2) for WHRadjBMIand eight previously established loci at P < 5×10−8: seven for BMI, and one for WHRadjBMIin African ancestry individuals. An additional novel locus (SPRYD7/DLEU2) was identified for WHRadjBMIwhen combined with European GWAS. In the sex-stratified analyses, we identified three novel loci for BMI (INTS10/LPL and MLC1 in men, IRX4/IRX2 in women) and four for WHRadjBMI(SSX2IP, CASC8, PDE3B and ZDHHC1/HSD11B2 in women) in individuals of African ancestry or both African and European ancestry. For four of the novel variants, the minor allele frequency was low (
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- 2017
6. Biological interpretation of genome-wide association studies using predicted gene functions
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Pers TH, Karjalainen JM, Chan Y, Westra HJ, Wood AR, Yang J, Lui JC, Vedantam S, Gustafsson S, Esko T, Frayling T, Speliotes EK, Boehnke M, Raychaudhuri S, Fehrmann RS, Hirschhorn JN, Franke L, Chu AY, Estrada K, Luan J, Kutalik Z, Amin N, Buchkovich ML, Croteau Chonka DC, Day FR, Duan Y, Fall T, Fehrmann R, Ferreira T, Jackson AU, Karjalainen J, Lo KS, Locke AE, Mägi R, Mihailov E, Porcu E, Randall JC, Scherag A, Vinkhuyzen AA, Winkler TW, Workalemahu T, Zhao JH, Absher D, Albrecht E, Anderson D, Baron J, Beekman M, Demirkan A, Ehret GB, Feenstra B, Feitosa MF, Fischer K, Fraser RM, Goel A, Gong J, Justice E, Kanoni S, Kleber ME, Kristiansson K, Lim U, Lotay V, Mangino M, Mateo Leach I, Medina Gomez C, Nalls MA, Nyholt DR, Palmer CD, Pasko D, Pechlivanis S, Prokopenko I, Ried JS, Ripke S, Shungin D, Stancáková A, Strawbridge RJ, Sung YJ, Tanaka T, Teumer A, Trompet S, van der Laan SW, van Setten J, Van Vliet Ostaptchouk JV, Wang Z, Yengo L, Zhang W, Afzal U, Ärnlöv J, Arscott GM, Bandinelli S, Barrett A, Bellis C, Bennett AJ, Berne C, Blüher M, Bolton JL, Böttcher Y, Boyd HA, Bruinenberg M, Buckley BM, Buyske S, Caspersen IH, Chines PS, Clarke R, Claudi Boehm S, Cooper M, Daw EW, De Jong A, Deelen J, Delgado G, Denny JC, Dhonukshe Rutten R, Dimitriou M, Doney AS, Dörr M, Eklund N, Eury E, Folkersen L, Garcia ME, Geller F, Giedraitis V, Go AS, Grallert H, Grammer TB, Gräßler J, Grönberg H, de Groot LC, Groves CJ, Haessler J, Haller T, Hallmans G, Hannemann A, Hartman CA, Hassinen M, Hayward C, Heard Costa NL, Helmer Q, Hemani G, Henders AK, Hillege HL, Hlatky MA, Hoffmann W, Hoffmann P, Holmen O, Houwing Duistermaat JJ, Illig T, Isaacs A, James AL, Jeff J, Johansen B, Johansson Å, Jolley J, Juliusdottir T, Junttila J, Kho AN, Kinnunen L, Klopp N, Kocher T, Kratzer W, Lichtner P, Lind L, Lindström J, Lobbens S, Lorentzon M, Lu Y, Lyssenko V, Magnusson PK, Mahajan A, Maillard M, McArdle WL, McKenzie CA, McLachlan S, McLaren PJ, Menni C, Merger S, Milani L, Moayyeri A, Monda KL, Morken MA, Müller G, Müller Nurasyid M, Musk AW, Narisu N, Nauck M, Nolte IM, Nöthen MM, Oozageer L, Pilz S, Rayner NW, Renstrom F, Robertson NR, Rose LM, Roussel R, Sanna S, Scharnagl H, Scholtens S, Schumacher FR, Schunkert H, Scott RA, Sehmi J, Seufferlein T, Shi J, Silventoinen K, Smit JH, Smith AV, Smolonska J, Stanton AV, Stirrups K, Stott DJ, Stringham HM, Sundström J, Swertz MA, Syvänen AC, Tayo BO, Thorleifsson G, Tyrer JP, van Dijk S, van Schoor NM, van der Velde N, van Heemst D, van Oort FV, Vermeulen SH, Verweij N, Vonk JM, Waite LL, Waldenberger M, Wennauer R, Wilkens LR, Willenborg C, Wilsgaard T, Wojczynski MK, Wong A, Wright AF, Zhang Q, Arveiler D, Bakker SJ, Beilby J, Bergman RN, Bergmann S, Biffar R, Blangero J, Boomsma I, Bornstein SR, Bovet P, BRAMBILLA, PAOLO, Brown MJ, Campbell H, Caulfield MJ, Chakravarti A, Collins R, Collins FS, Crawford DC, Cupples LA, Danesh J, de Faire U, den Ruijter HM, Erbel R, Erdmann J, Eriksson JG, Farrall M, Ferrannini E, Ferrières J, Ford I, Forouhi NG, Forrester T, Gansevoort RT, Gejman PV, Gieger C, Golay A, Gottesman O, Gudnason V, Gyllensten U, Haas DW, Hall AS, Harris TB, Hattersley AT, Heath AC, Hengstenberg C, Hicks AA, Hindorff LA, Hingorani AD, Hofman A, Hovingh GK, Humphries SE, Hunt SC, Hypponen E, Jacobs KB, Jarvelin MR, Jousilahti P, Jula AM, Kaprio J, Kastelein JJ, Kayser M, Kee F, Keinanen Kiukaanniemi SM, Kiemeney LA, Kooner JS, Kooperberg C, Koskinen S, Kovacs P, Kraja AT, Kumari M, Kuusisto J, Lakka TA, Langenberg C, Le Marchand L, Lehtimäki T, Lupoli S, Madden PA, Männistö S, Manunta P, Marette A, Matise TC, McKnight B, Meitinger T, Moll FL, Montgomery GW, Morris AD, Morris AP, Murray JC, Nelis M, Ohlsson C, Oldehinkel AJ, Ong KK, Ouwehand WH, Pasterkamp G, Peters A, Pramstaller PP, Price JF, Qi L, Raitakari OT, Rankinen T, Rao DC, Rice TK, Ritchie M, Rudan I, Salomaa V, Samani NJ, Saramies J, Sarzynski MA, Schwarz PE, Sebert S, Sever P, Shuldiner AR, Sinisalo J, 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Robertson, N, Rose, L, Roussel, R, Sanna, S, Scharnagl, H, Scholtens, S, Schumacher, F, Schunkert, H, Scott, R, Sehmi, J, Seufferlein, T, Shi, J, Silventoinen, K, Smit, J, Smith, A, Smolonska, J, Stanton, A, Stirrups, K, Stott, D, Stringham, H, Sundström, J, Swertz, M, Syvänen, A, Tayo, B, Thorleifsson, G, Tyrer, J, van Dijk, S, van Schoor, N, van der Velde, N, van Heemst, D, van Oort, F, Vermeulen, S, Verweij, N, Vonk, J, Waite, L, Waldenberger, M, Wennauer, R, Wilkens, L, Willenborg, C, Wilsgaard, T, Wojczynski, M, Wong, A, Wright, A, Zhang, Q, Arveiler, D, Bakker, S, Beilby, J, Bergman, R, Bergmann, S, Biffar, R, Blangero, J, Boomsma, I, Bornstein, S, Bovet, P, Brambilla, P, Brown, M, Campbell, H, Caulfield, M, Chakravarti, A, Collins, R, Collins, F, Crawford, D, Cupples, L, Danesh, J, de Faire, U, den Ruijter, H, Erbel, R, Erdmann, J, Eriksson, J, Farrall, M, Ferrannini, E, Ferrières, J, Ford, I, Forouhi, N, Forrester, T, Gansevoort, R, Gejman, P, Gieger, C, Golay, A, Gottesman, O, Gudnason, V, Gyllensten, U, Haas, D, Hall, A, Harris, T, Hattersley, A, Heath, A, Hengstenberg, C, Hicks, A, Hindorff, L, Hingorani, A, Hofman, A, Hovingh, G, Humphries, S, Hunt, S, Hypponen, E, Jacobs, K, Jarvelin, M, Jousilahti, P, Jula, A, Kaprio, J, Kastelein, J, Kayser, M, Kee, F, Keinanen Kiukaanniemi, S, Kiemeney, L, Kooner, J, Kooperberg, C, Koskinen, S, Kovacs, P, Kraja, A, Kumari, M, Kuusisto, J, Lakka, T, Langenberg, C, Le Marchand, L, Lehtimäki, T, Lupoli, S, Madden, P, Männistö, S, Manunta, P, Marette, A, Matise, T, Mcknight, B, Meitinger, T, Moll, F, Montgomery, G, Morris, A, Murray, J, Nelis, M, Ohlsson, C, Oldehinkel, A, Ong, K, Ouwehand, W, Pasterkamp, G, Peters, A, Pramstaller, P, Price, J, Qi, L, Raitakari, O, Rankinen, T, Rao, D, Rice, T, Ritchie, M, Rudan, I, Salomaa, V, Samani, N, Saramies, J, Sarzynski, M, Schwarz, P, Sebert, S, Sever, P, Shuldiner, A, Sinisalo, J, Steinthorsdottir, V, Stolk, R, Tardif, J, Tönjes, A, Tremblay, A, Tremoli, E, Virtamo, J, Vohl, M, Amouyel, P, Asselbergs, F, Assimes, T, Bochud, M, Boehm, B, Boerwinkle, E, Bottinger, E, Bouchard, C, Cauchi, S, Chambers, J, Chanock, S, Cooper, R, de Bakker, P, Dedoussis, G, Ferrucci, L, Franks, P, Froguel, P, Groop, L, Haiman, C, Hamsten, A, Hayes, M, Hui, J, Hunter, D, Hveem, K, Jukema, J, Kaplan, R, Kivimaki, M, Kuh, D, Laakso, M, Liu, Y, Martin, N, März, W, Melbye, M, Moebus, S, Munroe, P, Njølstad, I, Oostra, B, Pedersen, N, Perola, M, Pérusse, L, Peters, U, Powell, J, Power, C, Quertermous, T, Rauramaa, R, Reinmaa, E, Ridker, P, Rivadeneira, F, Rotter, J, Saaristo, T, Saleheen, D, Schlessinger, D, Slagboom, P, Snieder, H, Spector, T, Strauch, K, Stumvoll, M, Tuomilehto, J, Uusitupa, M, van der Harst, P, Völzke, H, Walker, M, Wareham, N, Watkins, H, Wichmann, H, Wilson, J, Zanen, P, Deloukas, P, Heid, I, Lindgren, C, Mohlke, K, Thorsteinsdottir, U, Barroso, I, Fox, C, North, K, Strachan, D, Beckmann, J, Berndt, S, Borecki, I, Mccarthy, M, Metspalu, A, Stefansson, K, Uitterlinden, A, van Duijn, C, Willer, C, Price, A, Lettre, G, Loos, R, Weedon, M, Ingelsson, E, O'Connell, J, Abecasis, G, Chasman, D, Goddard, M, Visscher, P, APH - Amsterdam Public Health, AMS - Amsterdam Movement Sciences, Geriatrics, Other departments, ACS - Amsterdam Cardiovascular Sciences, Vascular Medicine, Pers, Th, Karjalainen, Jm, Westra, Hj, Wood, Ar, Lui, Jc, Speliotes, Ek, Hirschhorn, Jn, and Faculty of Health Sciences
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Cell type ,Candidate gene ,BIO/12 - BIOCHIMICA CLINICA E BIOLOGIA MOLECOLARE CLINICA ,LOCI ,General Physics and Astronomy ,Genome-wide association study ,Disease ,Computational biology ,Biology ,Research Support ,General Biochemistry, Genetics and Molecular Biology ,Article ,DISEASE ,N.I.H ,CANDIDATE GENES ,Genome-Wide Association Study/methods ,Software ,HEIGHT ,Research Support, N.I.H., Extramural ,Genetics ,Journal Article ,NETWORK ,Non-U.S. Gov't ,Gene ,COMMON ,Intramural ,ARCHITECTURE ,Biochemistry, Genetics and Molecular Biology (all) ,Multidisciplinary ,IDENTIFICATION ,ta1184 ,Research Support, Non-U.S. Gov't ,Gene sets ,Extramural ,General Chemistry ,ta3121 ,Research Support, N.I.H., Intramural ,Phenotype ,3142 Public health care science, environmental and occupational health ,Biological sciences ,DATA SETS ,Urological cancers Radboud Institute for Health Sciences [Radboudumc 15] ,Identification (biology) ,INTEGRATION ,Genome-Wide Association Study - Abstract
Article, The main challenge for gaining biological insights from genetic associations is identifying which genes and pathways explain the associations. Here we present DEPICT, an integrative tool that employs predicted gene functions to systematically prioritize the most likely causal genes at associated loci, highlight enriched pathways and identify tissues/cell types where genes from associated loci are highly expressed. DEPICT is not limited to genes with established functions and prioritizes relevant gene sets for many phenotypes., published version, http://purl.org/eprint/status/PeerReviewed
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- 2015
7. The Nigerian antihypertensive adherence trial: a community-based randomized trial.
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Adeyemo A, Tayo BO, Luke A, Ogedegbe O, Durazo-Arvizu R, Cooper RS, Adeyemo, Adebowale, Tayo, Bamidele O, Luke, Amy, Ogedegbe, Olugbenga, Durazo-Arvizu, Ramon, and Cooper, Richard S
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- 2013
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- View/download PDF
8. Variants in CXADR and F2RL1 are associated with blood pressure and obesity in African-Americans in regions identified through admixture mapping.
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Shetty PB, Tang H, Tayo BO, Morrison AC, Hanis CL, Rao DC, Young JH, Fox ER, Boerwinkle E, Cooper RS, Risch NJ, Zhu X, Candidate Gene Association Resource (CARe) Consortium, Shetty, Priya B, Tang, Hua, Tayo, Bamidele O, Morrison, Alanna C, Hanis, Craig L, Rao, Dabeeru C, and Young, Jeffery H
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- 2012
- Full Text
- View/download PDF
9. Genome-wide meta-analysis of 241,258 adults accounting for smoking behaviour identifies novel loci for obesity traits
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Justice, AE, Winkler, TW, Feitosa, MF, Graff, M, Fisher, VA, Young, K, Barata, L, Deng, X, Czajkowski, J, Hadley, D, Ngwa, JS, Ahluwalia, TS, Chu, AY, Heard-Costa, NL, Lim, E, Perez, J, Eicher, JD, Kutalik, Z, Xue, L, Mahajan, A, Renström, F, Wu, J, Qi, Q, Ahmad, S, Alfred, T, Amin, N, Bielak, LF, Bonnefond, A, Bragg, J, Cadby, G, Chittani, M, Coggeshall, S, Corre, T, Direk, N, Eriksson, J, Fischer, K, Gorski, M, Neergaard Harder, M, Horikoshi, M, Huang, T, Huffman, JE, Jackson, AU, Justesen, JM, Kanoni, S, Kinnunen, L, Kleber, ME, Komulainen, P, Kumari, M, Lim, U, Luan, J, Lyytikäinen, L-P, Mangino, M, Manichaikul, A, Marten, J, Middelberg, RPS, Müller-Nurasyid, M, Navarro, P, Pérusse, L, Pervjakova, N, Sarti, C, Smith, AV, Smith, JA, Stančáková, A, Strawbridge, RJ, Stringham, HM, Sung, YJ, Tanaka, T, Teumer, A, Trompet, S, Van Der Laan, SW, Van Der Most, PJ, Van Vliet-Ostaptchouk, JV, Vedantam, SL, Verweij, N, Vink, JM, Vitart, V, Wu, Y, Yengo, L, Zhang, W, Hua Zhao, J, Zimmermann, ME, Zubair, N, Abecasis, GR, Adair, LS, Afaq, S, Afzal, U, Bakker, SJL, Bartz, TM, Beilby, J, Bergman, RN, Bergmann, S, Biffar, R, Blangero, J, Boerwinkle, E, Bonnycastle, LL, Bottinger, E, Braga, D, Buckley, BM, Buyske, S, Campbell, H, Chambers, JC, Collins, FS, Curran, JE, De Borst, GJ, De Craen, AJM, De Geus, EJC, Dedoussis, G, Delgado, GE, Den Ruijter, HM, Eiriksdottir, G, Eriksson, AL, Esko, T, Faul, JD, Ford, I, Forrester, T, Gertow, K, Gigante, B, Glorioso, N, Gong, J, Grallert, H, Grammer, TB, Grarup, N, Haitjema, S, Hallmans, G, Hamsten, A, Hansen, T, Harris, TB, Hartman, CA, Hassinen, M, Hastie, ND, Heath, AC, Hernandez, D, Hindorff, L, Hocking, LJ, Hollensted, M, Holmen, OL, Homuth, G, Jan Hottenga, J, Huang, J, Hung, J, Hutri-Kähönen, N, Ingelsson, E, James, AL, Jansson, J-O, Jarvelin, M-R, Jhun, MA, Jørgensen, ME, Juonala, M, Kähönen, M, Karlsson, M, Koistinen, HA, Kolcic, I, Kolovou, G, Kooperberg, C, Krämer, BK, Kuusisto, J, Kvaløy, K, Lakka, TA, Langenberg, C, Launer, LJ, Leander, K, Lee, NR, Lind, L, Lindgren, CM, Linneberg, A, Lobbens, S, Loh, M, Lorentzon, M, Luben, R, Lubke, G, Ludolph-Donislawski, A, Lupoli, S, Madden, PAF, Männikkö, R, Marques-Vidal, P, Martin, NG, McKenzie, CA, McKnight, B, Mellström, D, Menni, C, Montgomery, GW, Musk, AB, Narisu, N, Nauck, M, Nolte, IM, Oldehinkel, AJ, Olden, M, Ong, KK, Padmanabhan, S, Peyser, PA, Pisinger, C, Porteous, DJ, Raitakari, OT, Rankinen, T, Rao, DC, Rasmussen-Torvik, LJ, Rawal, R, Rice, T, Ridker, PM, Rose, LM, Bien, SA, Rudan, I, Sanna, S, Sarzynski, MA, Sattar, N, Savonen, K, Schlessinger, D, Scholtens, S, Schurmann, C, Scott, RA, Sennblad, B, Siemelink, MA, Silbernagel, G, Slagboom, PE, Snieder, H, Staessen, JA, Stott, DJ, Swertz, MA, Swift, AJ, Taylor, KD, Tayo, BO, Thorand, B, Thuillier, D, Tuomilehto, J, Uitterlinden, AG, Vandenput, L, Vohl, M-C, Völzke, H, Vonk, JM, Waeber, G, Waldenberger, M, Westendorp, RGJ, Wild, S, Willemsen, G, Wolffenbuttel, BHR, Wong, A, Wright, AF, Zhao, W, Zillikens, MC, Baldassarre, D, Balkau, B, Bandinelli, S, Böger, CA, Boomsma, DI, Bouchard, C, Bruinenberg, M, Chasman, DI, Chen, Y-D, Chines, PS, Cooper, RS, Cucca, F, Cusi, D, Faire, UD, Ferrucci, L, Franks, PW, Froguel, P, Gordon-Larsen, P, Grabe, H-J, Gudnason, V, Haiman, CA, Hayward, C, Hveem, K, Johnson, AD, Wouter Jukema, J, Kardia, SLR, Kivimaki, M, Kooner, JS, Kuh, D, Laakso, M, Lehtimäki, T, Marchand, LL, März, W, McCarthy, MI, Metspalu, A, Morris, AP, Ohlsson, C, Palmer, LJ, Pasterkamp, G, Pedersen, O, Peters, A, Peters, U, Polasek, O, Psaty, BM, Qi, L, Rauramaa, R, Smith, BH, Sørensen, TIA, Strauch, K, Tiemeier, H, Tremoli, E, Van Der Harst, P, Vestergaard, H, Vollenweider, P, Wareham, NJ, Weir, DR, Whitfield, JB, Wilson, JF, Tyrrell, J, Frayling, TM, Barroso, I, Boehnke, M, Deloukas, P, Fox, CS, Hirschhorn, JN, Hunter, DJ, Spector, TD, Strachan, DP, Van Duijn, CM, Heid, IM, Mohlke, KL, Marchini, J, Loos, RJF, Kilpeläinen, TO, Liu, C-T, Borecki, IB, North, KE, and Cupples, LA
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Adult ,Waist-Hip Ratio ,Quantitative Trait Loci ,Smoking ,Epistasis, Genetic ,Polymorphism, Single Nucleotide ,3. Good health ,Body Mass Index ,Phenotype ,Body Fat Distribution ,Humans ,Genetic Predisposition to Disease ,Obesity ,Waist Circumference ,Adiposity ,Genome-Wide Association Study - Abstract
Few genome-wide association studies (GWAS) account for environmental exposures, like smoking, potentially impacting the overall trait variance when investigating the genetic contribution to obesity-related traits. Here, we use GWAS data from 51,080 current smokers and 190,178 nonsmokers (87% European descent) to identify loci influencing BMI and central adiposity, measured as waist circumference and waist-to-hip ratio both adjusted for BMI. We identify 23 novel genetic loci, and 9 loci with convincing evidence of gene-smoking interaction (GxSMK) on obesity-related traits. We show consistent direction of effect for all identified loci and significance for 18 novel and for 5 interaction loci in an independent study sample. These loci highlight novel biological functions, including response to oxidative stress, addictive behaviour, and regulatory functions emphasizing the importance of accounting for environment in genetic analyses. Our results suggest that tobacco smoking may alter the genetic susceptibility to overall adiposity and body fat distribution.
10. A catalog of genetic loci associated with kidney function from analyses of a million individuals
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Wuttke, Matthias, Li, Yong, Li, Man, Sieber, Karsten B., Feitosa, Mary F., Gorski, Mathias, Tin, Adrienne, Wang, Lihua, Chu, Audrey Y., Hoppmann, Anselm, Kirsten, Holger, Giri, Ayush, Chai, Jin-Fang, Sveinbjornsson, Gardar, Tayo, Bamidele O., Nutile, Teresa, Fuchsberger, Christian, Marten, Jonathan, Cocca, Massimiliano, Ghasemi, Sahar, Xu, Yizhe, Horn, Katrin, Noce, Damia, van der Most, Peter J., Sedaghat, Sanaz, Yu, Zhi, Akiyama, Masato, Afaq, Saima, Ahluwalia, Tarunveer S., Almgren, Peter, Amin, Najaf, Ärnlöv, Johan, Bakker, Stephan J. L., Bansal, Nisha, Baptista, Daniela, Bergmann, Sven, Biggs, Mary L., Biino, Ginevra, Boehnke, Michael, Boerwinkle, Eric, Boissel, Mathilde, Bottinger, Erwin P., Boutin, Thibaud S., Brenner, Hermann, Brumat, Marco, Burkhardt, Ralph, Butterworth, Adam S., Campana, Eric, Campbell, Archie, Campbell, Harry, Canouil, Mickaël, Carroll, Robert J., Catamo, Eulalia, Chambers, John C., Chee, Miao-Ling, Chee, Miao-Li, Chen, Xu, Cheng, Ching-Yu, Cheng, Yurong, Christensen, Kaare, Cifkova, Renata, Ciullo, Marina, Pina Concas, Maria, Cook, James P., Coresh, Josef, Corre, Tanguy, Sala, Cinzia Felicita, Cusi, Daniele, Danesh, John, Daw, E. Warwick, de Borst, Martin H., De Grandi, Alessandro, de Mutsert, Renée, de Vries, Aiko P. J., Degenhardt, Frauke, Delgado, Graciela, Demirkan, Ayse, Di Angelantonio, Emanuele, Dittrich, Katalin, Divers, Jasmin, Dorajoo, Rajkumar, Eckardt, Kai-Uwe, Ehret, Georg, Elliott, Paul, Endlich, Karlhans, Evans, Michele K., Felix, Janine F., Foo, Valencia Hui Xian, Franco, Oscar H., Franke, Andre, Freedman, Barry I., Freitag-Wolf, Sandra, Friedlander, Yechiel, Froguel, Philippe, Gansevoort, Ron T., Gao, He, Gasparini, Paolo, Gaziano, J. Michael, Giedraitis, Vilmantas, Gieger, Christian, Girotto, Giorgia, Giulianini, Franco, Gögele, Martin, Gordon, Scott D., Gudbjartsson, Daniel F., Gudnason, Vilmundur, Haller, Toomas, Hamet, Pavel, Harris, Tamara B., Hartman, Catharina A., Hayward, Caroline, Hellwege, Jacklyn N., Heng, Chew-Kiat, Hickst, Andrew A., Hofer, Edith, Huang, Wei, Hutri-Kähönen, Nina, Hwang, Shih-Jen, ikram, M. Arfan, indridason, Olafur S., Ingelsson, Erik, ising, Marcus, Jaddoe, Vincent W. V., Jakobsdottir, Johanna, Jonas, Jost B, Joshi, Peter K., Shilpa Josyula, Navya, Jung, Bettina, Kähönen, Mika, Kamatani, Yoichiro, Kammerer, Candace M., Kanai, Masahiro, Kastarinen, Mika, Kerr, Shona M., Khor, Chiea-Chuen, Kiess, Wieland, Kleber, Marcus E., Koenig, Wolfgang, Kooner, Jaspal S., Körner, Antje, Kovacs, Peter, Kraja, Aldi T., Krajcoviechova, Alena, Kramer, Holly, Krämer, Bernhard K., Kronenberg, Florian, Kubo, Michiaki, Kühnel, Brigitte, Kuokkanen, Mikko, Kuusisto, Johanna, La Bianca, Martina, Laakso, Markku, Lange, Leslie A., Langefeld, Carl D., Jen-Mai Lee, Jeannette, Lehne, Benjamin, Lehtimäki, Terho, Lieb, Wolfgang, Cohort Study, Lifelines, Lim, Su-Chi, Lind, Lars, Lindgren, Cecilia M., Liu, Jun, Liu, Jianjun, Loeffler, Markus, Loos, Ruth J. F., Lucae, Susanne, Ann Lukas, Mary, Lyytikäinen, Leo-Pekka, Mägi, Reedik, Magnusson, Patrik K. E., Mahajan, Anubha, Martin, Nicholas G., Martins, Jade, März, Winfried, Mascalzoni, Deborah, Matsuda, Koichi, Christa Meisinger, Meitinger, Thomas, Melander, Olle, Metspalu, Andres, Mikaelsdottir, Evgenia K., Milaneschi, Yuri, Miliku, Kozeta, Mishra, Pashupati P., Veteran Program, V. A. Million, Mohlke, Karen L., Mononen, Nina, Montgomery, Grant W., Mook-Kanamori, Dennis O., Mychaleckyj, Josyf C., Nadkarni, Girish N, Nalls, Mike A., Nauck, Matthias, Nikus, Kjell, Ning, Boting, Nolte, ilja M., Noordam, Raymond, O’Connell, Jeffrey, O’Donoghue, Michelle L., Olafsson, Isleifur, Oldehinkel, Albertine J., Orho-Melander, Marju, Ouwehand, Willem H., Padmanabhan, Sandosh, Palmer, Nicholette D., Palsson, Runolfur, Penninx, Brenda W. J. H., Perls, Thomas, Perola, Markus, Pirastu, Mario, Pirastu, Nicola, Pistis, Giorgio, Podgornaia, Anna I., Polasek, Ozren, Ponte, Belen, Porteous, David J., Poulain, Tanja, Pramstaller, Peter P., Preuss, Michael H., Prins, Bram P., Province, Michael A., Rabelink, Ton J., Raffield, Laura M., Raitakari, Olli T., Reilly, Dermot F., Rettig, Rainer, Rheinberger, Myriam, Rice, Kenneth M., Ridker, Paul M., Rivadeneira, Fernando, Rizzi, Federica, Roberts, David J., Robino, Antonietta, Rossing, Peter, Rudan, Igor, Rueedi, Rico, Ruggiero, Daniela, Ryan, Kathleen A., Saba, Yasaman, Sabanayagam, Charumathi, Salomaa, Veikko, Salvi, Erika, Saum, Kai-Uwe, Schmidt, Helena, Schmidt, Reinhold, Schöttker, Ben, Schulz, Christina-Alexandra, Schupf, Nicole, Shaffer, Christian M., Shi, Yuan, Smith, Albert V., Smith, Blair H., Soranzo, Nicole, Spracklen, Cassandra N., Strauch, Konstantin, Stringham, Heather M., Stumvoll, Michael, Svensson, Per O., Szymczak, Silke, Tai, E-Shyong, Tajuddin, Salman M., Tan, Nicholas Y. Q., Taylor, Kent D., Teren, Andrej, Tham, Yih-Chung, Thiery, Joachim, Thio, Chris H. L., Thomsen, Hauke, Thorleifsson, Gudmar, Toniolo, Daniela, Tönjes, Anke, Tremblay, Johanne, Tzoulaki, Ioanna, Uitterlinden, André G., Vaccargiu, Simona, van Dam, Rob M., van der Harst, Pim, van Duijn, Cornelia M., Velez Edward, Digna R., Verweij, Niek, Vogelezang, suzanne, Völker, üwe, Vollenweider, Peter, Waeber, Gerard, Waldenberger, Melanie, Wallentin, Lars, Wang, Ya Xing, Wang, Chaolong, Waterworth, Dawn M., Bin Wei, Wen, White, Harvey, Whitfield, John B., Wild, Sarah H., Wilson, James F., Wojczynski, Mary K., Wong, Charlene, Wong, Tien-Yin, Xu, Liang, Yang, Qiong, Yasuda, Masayuki, Yerges-Armstrong, Laura M., Zhang, Weihua, Zonderman, Alan B., Rotter, Jerome I., Bochud, Murielle, Psaty, Bruce M., Vitart, Veronique, Wilson, James G., Dehghan, Abbas, Parsa, Afshin, Chasman, Daniel I., Ho, Kevin, Morris, Andrew P., Devuyst, Olivier, Akilesh, Shreeram, Pendergrass, Sarah A., Sim, Xueling, Böger, Carsten A., Okada, Yukinori, Edwards, Todd L., Snieder, Harold, Stefansson, Kari, Hung, Adriana M., Heid, Iris M., Markus Scholz, Teumer, Alexander, Köttgen, Anna, Pattaro, Cristian, Groningen Institute for Organ Transplantation (GIOT), Lifestyle Medicine (LM), Groningen Kidney Center (GKC), Cardiovascular Centre (CVC), Interdisciplinary Centre Psychopathology and Emotion regulation (ICPE), Life Course Epidemiology (LCE), Internal Medicine, Epidemiology, Erasmus MC other, Pediatrics, Psychiatry, APH - Mental Health, APH - Digital Health, Wuttke, M, Li, Y, Li, M, Sieber, Kb, Feitosa, Mf, Gorski, M, Tin, A, Wang, L, Chu, Ay, Hoppmann, A, Kirsten, H, Giri, A, Chai, Jf, Sveinbjornsson, G, Tayo, Bo, Nutile, T, Fuchsberger, C, Marten, J, Cocca, M, Ghasemi, S, Xu, Y, Horn, K, Noce, D, van der Most, Pj, Sedaghat, S, Yu, Z, Akiyama, M, Afaq, S, Ahluwalia, T, Almgren, P, Amin, N, Ärnlöv, J, Bakker, Sjl, Bansal, N, Baptista, D, Bergmann, S, Biggs, Ml, Biino, G, Boehnke, M, Boerwinkle, E, Boissel, M, Bottinger, Ep, Boutin, T, Brenner, H, Brumat, M, Burkhardt, R, Butterworth, A, Campana, Eric, Campbell, A, Campbell, H, Canouil, M, Carroll, Rj, Catamo, E, Chambers, Jc, Chee, Ml, Chen, X, Cheng, Cy, Cheng, Y, Christensen, K, Cifkova, R, Ciullo, M, Concas, Mp, Cook, Jp, Coresh, J, Corre, T, Sala, Cf, Cusi, D, Danesh, J, Daw, Ew, de Borst, Mh, De Grandi, A, de Mutsert, R, de Vries, Apj, Degenhardt, F, Delgado, G, Demirkan, A, Di Angelantonio, E, Dittrich, K, Divers, J, Dorajoo, R, Eckardt, Ku, Ehret, G, Elliott, P, Endlich, K, Evans, Mk, Felix, Jf, Foo, Vhx, Franco, Oh, Franke, A, Freedman, Bi, Freitag-Wolf, S, Friedlander, Y, Froguel, P, Gansevoort, Rt, Gao, H, Gasparini, P, Gaziano, Jm, Giedraitis, V, Gieger, C, Girotto, G, Giulianini, F, Gögele, M, Gordon, Sd, Gudbjartsson, Df, Gudnason, V, Haller, T, Hamet, P, Harris, Tb, Hartman, Ca, Hayward, C, Hellwege, Jn, Heng, Ck, Hicks, Aa, Hofer, E, Huang, W, Hutri-Kähönen, N, Hwang, Sj, Ikram, Ma, Indridason, O, Ingelsson, E, Ising, M, Jaddoe, Vwv, Jakobsdottir, J, Jonas, Jb, Joshi, Pk, Josyula, N, Jung, B, Kähönen, M, Kamatani, Y, Kammerer, Cm, Kanai, M, Kastarinen, M, Kerr, Sm, Khor, Cc, Kiess, W, Kleber, Me, Koenig, W, Kooner, J, Körner, A, Kovacs, P, Kraja, At, Krajcoviechova, A, Kramer, H, Krämer, Bk, Kronenberg, F, Kubo, M, Kühnel, B, Kuokkanen, M, Kuusisto, J, La Bianca, M, Laakso, M, Lange, La, Langefeld, Cd, Lee, Jj, Lehne, B, Lehtimäki, T, Lieb, W, Lifelines Cohort, Study, Lim, Sc, Lind, L, Lindgren, Cm, Liu, J, Loeffler, M, Loos, Rjf, Lucae, S, Lukas, Ma, Lyytikäinen, Lp, Mägi, R, Magnusson, Pke, Mahajan, A, Martin, Ng, Martins, J, März, W, Mascalzoni, D, Matsuda, K, Meisinger, C, Meitinger, T, Melander, O, Metspalu, A, Mikaelsdottir, Ek, Milaneschi, Y, Miliku, K, Mishra, Pp, V. A., Million Veteran Program, Mohlke, Kl, Mononen, N, Montgomery, Gw, Mook-Kanamori, Do, Mychaleckyj, Jc, Nadkarni, Gn, Nalls, Ma, Nauck, M, Nikus, K, Ning, B, Nolte, Im, Noordam, R, O'Connell, J, O'Donoghue, Ml, Olafsson, I, Oldehinkel, Aj, Orho-Melander, M, Ouwehand, Wh, Padmanabhan, S, Palmer, Nd, Palsson, R, Penninx, Bwjh, Perls, T, Perola, M, Pirastu, M, Pirastu, N, Pistis, G, Podgornaia, Ai, Polasek, O, Ponte, B, Porteous, Dj, Poulain, T, Pramstaller, Pp, Preuss, Mh, Prins, Bp, Province, Ma, Rabelink, Tj, Raffield, Lm, Raitakari, Ot, Reilly, Df, Rettig, R, Rheinberger, M, Rice, Km, Ridker, Pm, Rivadeneira, F, Rizzi, F, Roberts, Dj, Robino, A, Rossing, P, Rudan, I, Rueedi, R, Ruggiero, D, Ryan, Ka, Saba, Y, Sabanayagam, C, Salomaa, V, Salvi, E, Saum, Ku, Schmidt, H, Schmidt, R, Schöttker, B, Schulz, Ca, Schupf, N, Shaffer, Cm, Shi, Y, Smith, Av, Smith, Bh, Soranzo, N, Spracklen, Cn, Strauch, K, Stringham, Hm, Stumvoll, M, Svensson, Po, Szymczak, S, Tai, E, Tajuddin, Sm, Tan, Nyq, Taylor, Kd, Teren, A, Tham, Yc, Thiery, J, Thio, Chl, Thomsen, H, Thorleifsson, G, Toniolo, D, Tönjes, A, Tremblay, J, Tzoulaki, I, Uitterlinden, Ag, Vaccargiu, S, van Dam, Rm, van der Harst, P, van Duijn, Cm, Velez Edward, Dr, Verweij, N, Vogelezang, S, Völker, U, Vollenweider, P, Waeber, G, Waldenberger, M, Wallentin, L, Wang, Yx, Wang, C, Waterworth, Dm, Bin Wei, W, White, H, Whitfield, Jb, Wild, Sh, Wilson, Jf, Wojczynski, Mk, Wong, C, Wong, Ty, Xu, L, Yang, Q, Yasuda, M, Yerges-Armstrong, Lm, Zhang, W, Zonderman, Ab, Rotter, Ji, Bochud, M, Psaty, Bm, Vitart, V, Wilson, Jg, Dehghan, A, Parsa, A, Chasman, Di, Ho, K, Morris, Ap, Devuyst, O, Akilesh, S, Pendergrass, Sa, Sim, X, Böger, Ca, Okada, Y, Edwards, Tl, Snieder, H, Stefansson, K, Hung, Am, Heid, Im, Scholz, M, Teumer, A, Köttgen, A, and Pattaro, C.
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catalog ,Inheritance Patterns ,Hasso-Plattner-Institut für Digital Engineering GmbH ,Genome-wide association study ,Disease ,Kidney Function Tests ,Bioinformatics ,DISEASE ,0302 clinical medicine ,Uromodulin/urine ,kidney function ,11 Medical and Health Sciences ,Genetics & Heredity ,ddc:616 ,0303 health sciences ,Kidney ,Genome-wide association ,HERITABILITY ,GENOME-WIDE ASSOCIATION ,COMMON VARIANTS ,RENAL-FUNCTION ,TRANS-EQTLS ,METAANALYSIS ,TRANSPORTER ,CLASSIFICATION ,INTEGRATION ,Chromosome Mapping ,3. Good health ,Phenotype ,medicine.anatomical_structure ,Medical genetics ,Common variants ,Renal function ,Trans-EQTLS ,Metaanalysis ,Heritability ,Transporter ,Life Sciences & Biomedicine ,Glomerular Filtration Rate ,Metaanalysi ,medicine.medical_specialty ,Genotype ,European Continental Ancestry Group ,Quantitative Trait Loci ,Common variant ,Quantitative trait locus ,Biology ,Polymorphism, Single Nucleotide ,Article ,White People ,V. A. Million Veteran Program ,03 medical and health sciences ,Quantitative Trait, Heritable ,Lifelines Cohort Study ,Uromodulin ,Genetics ,medicine ,Humans ,Genetic Predisposition to Disease ,Renal Insufficiency, Chronic ,Genetic Association Studies ,030304 developmental biology ,Genetic association ,Science & Technology ,urogenital system ,association ,genetic loci ,06 Biological Sciences ,medicine.disease ,Renal Insufficiency, Chronic/genetics/physiopathology/urine ,Genetic Association Studies/methods ,ddc:000 ,030217 neurology & neurosurgery ,Developmental Biology ,Genome-Wide Association Study ,Kidney disease - Abstract
Chronic kidney disease (CKD) is responsible for a public health burden with multi-systemic complications. Through trans-ancestry meta-analysis of genome-wide association studies of estimated glomerular filtration rate (eGFR) and independent replication (n = 1,046,070), we identified 264 associated loci (166 new). Of these, 147 were likely to be relevant for kidney function on the basis of associations with the alternative kidney function marker blood urea nitrogen (n = 416,178). Pathway and enrichment analyses, including mouse models with renal phenotypes, support the kidney as the main target organ. A genetic risk score for lower eGFR was associated with clinically diagnosed CKD in 452,264 independent individuals. Colocalization analyses of associations with eGFR among 783,978 European-ancestry individuals and gene expression across 46 human tissues, including tubulo-interstitial and glomerular kidney compartments, identified 17 genes differentially expressed in kidney. Fine-mapping highlighted missense driver variants in 11 genes and kidney-specific regulatory variants. These results provide a comprehensive priority list of molecular targets for translational research.
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- 2019
11. Multi-ancestry genome-wide gene-smoking interaction study of 387,272 individuals identifies new loci associated with serum lipids
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Bentley, Amy R, Sung, Yun J, Brown, Michael R, Winkler, Thomas W, Kraja, Aldi T, Ntalla, Ioanna, Schwander, Karen, Chasman, Daniel I, Lim, Elise, Deng, Xuan, Guo, Xiuqing, Liu, Jingmin, Lu, Yingchang, Cheng, Ching-Yu, Sim, Xueling, Vojinovic, Dina, Huffman, Jennifer E, Musani, Solomon K, Li, Changwei, Feitosa, Mary F, Richard, Melissa A, Noordam, Raymond, Baker, Jenna, Chen, Guanjie, Aschard, Hugues, Bartz, Traci M, Ding, Jingzhong, Dorajoo, Rajkumar, Manning, Alisa K, Rankinen, Tuomo, Smith, Albert V, Tajuddin, Salman M, Zhao, Wei, Graff, Mariaelisa, Alver, Maris, Boissel, Mathilde, Chai, Jin Fang, Chen, Xu, Divers, Jasmin, Evangelou, Evangelos, Gao, Chuan, Goel, Anuj, Hagemeijer, Yanick, Harris, Sarah E, Hartwig, Fernando P, He, Meian, Horimoto, Andrea RVR, Hsu, Fang-Chi, Hung, Yi-Jen, Jackson, Anne U, Kasturiratne, Anuradhani, Komulainen, Pirjo, Kuehnel, Brigitte, Leander, Karin, Lin, Keng-Hung, Luan, Jian'an, Lyytikainen, Leo-Pekka, Matoba, Nana, Nolte, Ilja M, Pietzner, Maik, Prins, Bram, Riaz, Muhammad, Robino, Antonietta, Said, M Abdullah, Schupf, Nicole, Scott, Robert A, Sofer, Tamar, Stancakova, Alena, Takeuchi, Fumihiko, Tayo, Bamidele O, van der Most, Peter J, Varga, Tibor V, Wang, Tzung-Dau, Wang, Yajuan, Ware, Erin B, Wen, Wanqing, Xiang, Yong-Bing, Yanek, Lisa R, Zhang, Weihua, Zhao, Jing Hua, Adeyemo, Adebowale, Afaq, Saima, Amin, Najaf, Amini, Marzyeh, Arking, Dan E, Arzumanyan, Zorayr, Aung, Tin, Ballantyne, Christie, Barr, R Graham, Bielak, Lawrence F, Boerwinkle, Eric, Bottinger, Erwin P, Broeckel, Ulrich, Brown, Morris, Cade, Brian E, Campbell, Archie, Canouil, Mickael, Charumathi, Sabanayagam, Chen, Yii-Der Ida, Christensen, Kaare, Concas, Maria Pina, Connell, John M, de las Fuentes, Lisa, de Silva, H Janaka, de Vries, Paul S, Doumatey, Ayo, Duan, Qing, Eaton, Charles B, Eppinga, Ruben N, Faul, Jessica D, Floyd, James S, Forouhi, Nita G, Forrester, Terrence, Friedlander, Yechiel, Gandin, Ilaria, Gao, He, Ghanbari, Mohsen, Gharib, Sina A, Gigante, Bruna, Giulianini, Franco, Grabe, Hans J, Gu, C Charles, Harris, Tamara B, Heikkinen, Sami, Heng, Chew-Kiat, Hirata, Makoto, Hixson, James E, Ikram, M Arfan, Jia, Yucheng, Joehanes, Roby, Johnson, Craig, Jonas, Jost Bruno, Justice, Anne E, Katsuya, Tomohiro, Khor, Chiea Chuen, Kilpelainen, Tuomas O, Koh, Woon-Puay, Kolcic, Ivana, Kooperberg, Charles, Krieger, Jose E, Kritchevsky, Stephen B, Kubo, Michiaki, Kuusisto, Johanna, Lakka, Timo A, Langefeld, Carl D, Langenberg, Claudia, Launer, Lenore J, Lehne, Benjamin, Lewis, Cora E, Li, Yize, Liang, Jingjing, Lin, Shiow, Liu, Ching-Ti, Liu, Jianjun, Liu, Kiang, Loh, Marie, Lohman, Kurt K, Louie, Tin, Luzzi, Anna, Magi, Reedik, Mahajan, Anubha, Manichaikul, Ani W, McKenzie, Colin A, Meitinger, Thomas, Metspalu, Andres, Milaneschi, Yuri, Milani, Lili, Mohlke, Karen L, Momozawa, Yukihide, Morris, Andrew P, Murray, Alison D, Nalls, Mike A, Nauck, Matthias, Nelson, Christopher P, North, Kari E, O'Connell, Jeffrey R, Palmer, Nicholette D, Papanicolau, George J, Pedersen, Nancy L, Peters, Annette, Peyser, Patricia A, Polasek, Ozren, Poulter, Neil, Raitakari, Olli T, Reiner, Alex P, Renstrom, Frida, Rice, Treva K, Rich, Stephen S, Robinson, Jennifer G, Rose, Lynda M, Rosendaal, Frits R, Rudan, Igor, Schmidt, Carsten O, Schreiner, Pamela J, Scott, William R, Sever, Peter, Shi, Yuan, Sidney, Stephen, Sims, Mario, Smith, Jennifer A, Snieder, Harold, Starr, John M, Strauch, Konstantin, Stringham, Heather M, Tan, Nicholas YQ, Tang, Hua, Taylor, Kent D, Teo, Yik Ying, Tham, Yih Chung, Tiemeier, Henning, Turner, Stephen T, Uitterlinden, Andre G, van Heemst, Diana, Waldenberger, Melanie, Wang, Heming, Wang, Lan, Wang, Lihua, Wei, Wen Bin, Williams, Christine A, Sr, Wilson Gregory, Wojczynski, Mary K, Yao, Jie, Young, Kristin, Yu, Caizheng, Yuan, Jian-Min, Zhou, Jie, Zonderman, Alan B, Becker, Diane M, Boehnke, Michael, Bowden, Donald W, Chambers, John C, Cooper, Richard S, de Faire, Ulf, Deary, Ian J, Elliott, Paul, Esko, Tonu, Farrall, Martin, Franks, Paul W, Freedman, Barry I, Froguel, Philippe, Gasparini, Paolo, Gieger, Christian, Horta, Bernardo L, Juang, Jyh-Ming Jimmy, Kamatani, Yoichiro, Kammerer, Candace M, Kato, Norihiro, Kooner, Jaspal S, Laakso, Markku, Laurie, Cathy C, Lee, I-Te, Lehtimaki, Terho, Magnusson, Patrik KE, Oldehinkel, Albertine J, Penninx, Brenda WJH, Pereira, Alexandre C, Rauramaa, Rainer, Redline, Susan, Samani, Nilesh J, Scott, James, Shu, Xiao-Ou, van der Harst, Pim, Wagenknecht, Lynne E, Wang, Jun-Sing, Wang, Ya Xing, Wareham, Nicholas J, Watkins, Hugh, Weir, David R, Wickremasinghe, Ananda R, Wu, Tangchun, Zeggini, Eleftheria, Zheng, Wei, Bouchard, Claude, Evans, Michele K, Gudnason, Vilmundur, Kardia, Sharon LR, Liu, Yongmei, Psaty, Bruce M, Ridker, Paul M, van Dam, Rob M, Mook-Kanamori, Dennis O, Fornage, Myriam, Province, Michael A, Kelly, Tanika N, Fox, Ervin R, Hayward, Caroline, van Duijn, Cornelia M, Tai, E Shyong, Wong, Tien Yin, Loos, Ruth JF, Franceschini, Nora, Rotter, Jerome I, Zhu, Xiaofeng, Bierut, Laura J, Gauderman, W James, Rice, Kenneth, Munroe, Patricia B, Morrison, Alanna C, Rao, Dabeeru C, Rotimi, Charles N, Cupples, L Adrienne, Consortium, COGENT-Kidney, Consortium, EPIC-InterAct, Grp, Understanding Soc Sci, Cohort, Lifelines, National Institutes of Health [Bethesda] (NIH), Washington University School of Medicine in St. Louis, Washington University in Saint Louis (WUSTL), The University of Texas Health Science Center at Houston (UTHealth), Universität Regensburg (UR), Queen Mary University of London (QMUL), Brigham and Women's Hospital [Boston], Harvard Medical School [Boston] (HMS), School of Public Health [Boston], Boston University [Boston] (BU), Los Angeles Biomedical Research Institute (LA BioMed), Fred Hutchinson Cancer Research Center [Seattle] (FHCRC), Icahn School of Medicine at Mount Sinai [New York] (MSSM), Singapore Eye Research Institute [Singapore] (SERI), Duke-NUS Medical School [Singapore], National University of Singapore (NUS), Erasmus University Medical Center [Rotterdam] (Erasmus MC), University of Edinburgh, University of Mississippi Medical Center (UMMC), University of Georgia [USA], Leiden University Medical Center (LUMC), Centre de Bioinformatique, Biostatistique et Biologie Intégrative (C3BI), Institut Pasteur [Paris]-Centre National de la Recherche Scientifique (CNRS), Harvard T.H. Chan School of Public Health, University of Washington [Seattle], Wake Forest University, Genome Institute of Singapore (GIS), Massachusetts General Hospital [Boston], Pennington Biomedical Research Center, Louisiana State University (LSU), Icelandic Heart Association [Kopavogur, Iceland] (IHA), University of Iceland [Reykjavik], University of Michigan [Ann Arbor], University of Michigan System, University of North Carolina [Chapel Hill] (UNC), University of North Carolina System (UNC), University of Tartu, Metabolic functional (epi)genomics and molecular mechanisms involved in type 2 diabetes and related diseases - UMR 8199 - UMR 1283 (GI3M), Institut Pasteur de Lille, Réseau International des Instituts Pasteur (RIIP)-Réseau International des Instituts Pasteur (RIIP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Lille-Centre National de la Recherche Scientifique (CNRS), Karolinska Institutet [Stockholm], Wake Forest School of Medicine [Winston-Salem], Wake Forest Baptist Medical Center, Imperial College London, University of Ioannina, University of Oxford [Oxford], University of Groningen [Groningen], Universidade Federal de Pelotas = Federal University of Pelotas (UFPel), University of Bristol [Bristol], Huazhong University of Science and Technology [Wuhan] (HUST), Universidade de São Paulo Medical School (FMUSP), Case Western Reserve University [Cleveland], University of Southern California (USC), This project was largely supported by a grant from the US National Heart, Lung, and Blood Institute of the National Institutes of Health (R01HL118305) and by the Intramural Research Program of the National Human Genome Research Institute of the National Institutes of Health through the Center for Research on Genomics and Global Health (CRGGH). The CRGGH is supported by the National Human Genome Research Institute, the National Institute of Diabetes and Digestive and Kidney Diseases, the Center for Information Technology, and the Office of the Director at the National Institutes of Health (Z01HG200362)., Bentley, Ar, Sung, Yj, Brown, Mr, Winkler, Tw, Kraja, At, Ntalla, I, Schwander, K, Chasman, Di, Lim, E, Deng, X, Guo, X, Liu, J, Lu, Y, Cheng, Cy, Sim, X, Vojinovic, D, Huffman, Je, Musani, Sk, Li, C, Feitosa, Mf, Richard, Ma, Noordam, R, Baker, J, Chen, G, Aschard, H, Bartz, Tm, Ding, J, Dorajoo, R, Manning, Ak, Rankinen, T, Smith, Av, Tajuddin, Sm, Zhao, W, Graff, M, Alver, M, Boissel, M, Chai, Jf, Chen, X, Divers, J, Evangelou, E, Gao, C, Goel, A, Hagemeijer, Y, Harris, Se, Hartwig, Fp, He, M, Horimoto, Arvr, Hsu, Fc, Hung, Yj, Jackson, Au, Kasturiratne, A, Komulainen, P, Kühnel, B, Leander, K, Lin, Kh, Luan, J, Lyytikäinen, Lp, Matoba, N, Nolte, Im, Pietzner, M, Prins, B, Riaz, M, Robino, A, Said, Ma, Schupf, N, Scott, Ra, Sofer, T, Stancáková, A, Takeuchi, F, Tayo, Bo, van der Most, Pj, Varga, Tv, Wang, Td, Wang, Y, Ware, Eb, Wen, W, Xiang, Yb, Yanek, Lr, Zhang, W, Zhao, Jh, Adeyemo, A, Afaq, S, Amin, N, Amini, M, Arking, De, Arzumanyan, Z, Aung, T, Ballantyne, C, Barr, Rg, Bielak, Lf, Boerwinkle, E, Bottinger, Ep, Broeckel, U, Brown, M, Cade, Be, Campbell, A, Canouil, M, Charumathi, S, Chen, Yi, Christensen, K, COGENT-Kidney, Consortium, Concas, Mp, Connell, Jm, de Las Fuentes, L, de Silva, Hj, de Vries, P, Doumatey, A, Duan, Q, Eaton, Cb, Eppinga, Rn, Faul, Jd, Floyd, J, Forouhi, Ng, Forrester, T, Friedlander, Y, Gandin, I, Gao, H, Ghanbari, M, Gharib, Sa, Gigante, B, Giulianini, F, Grabe, Hj, Gu, Cc, Harris, Tb, Heikkinen, S, Heng, Ck, Hirata, M, Hixson, Je, Ikram, Ma, EPIC-InterAct, Consortium, Jia, Y, Joehanes, R, Johnson, C, Jonas, Jb, Justice, Ae, Katsuya, T, Khor, Cc, Kilpeläinen, To, Koh, Wp, Kolcic, I, Kooperberg, C, Krieger, Je, Kritchevsky, Sb, Kubo, M, Kuusisto, J, Lakka, Ta, Langefeld, Cd, Langenberg, C, Launer, Lj, Lehne, B, Lewis, Ce, Li, Y, Liang, J, Lin, S, Liu, Ct, Liu, K, Loh, M, Lohman, Kk, Louie, T, Luzzi, A, Mägi, R, Mahajan, A, Manichaikul, Aw, Mckenzie, Ca, Meitinger, T, Metspalu, A, Milaneschi, Y, Milani, L, Mohlke, Kl, Momozawa, Y, Morris, Ap, Murray, Ad, Nalls, Ma, Nauck, M, Nelson, Cp, North, Ke, O'Connell, Jr, Palmer, Nd, Papanicolau, Gj, Pedersen, Nl, Peters, A, Peyser, Pa, Polasek, O, Poulter, N, Raitakari, Ot, Reiner, Ap, Renström, F, Rice, Tk, Rich, S, Robinson, Jg, Rose, Lm, Rosendaal, Fr, Rudan, I, Schmidt, Co, Schreiner, Pj, Scott, Wr, Sever, P, Shi, Y, Sidney, S, Sims, M, Smith, Ja, Snieder, H, Starr, Jm, Strauch, K, Stringham, Hm, Tan, Nyq, Tang, H, Taylor, Kd, Teo, Yy, Tham, Yc, Tiemeier, H, Turner, St, Uitterlinden, Ag, Understanding Society Scientific, Group, van Heemst, D, Waldenberger, M, Wang, H, Wang, L, Wei, Wb, Williams, Ca, Wilson, G Sr, Wojczynski, Mk, Yao, J, Young, K, Yu, C, Yuan, Jm, Zhou, J, Zonderman, Ab, Becker, Dm, Boehnke, M, Bowden, Dw, Chambers, Jc, Cooper, R, de Faire, U, Deary, Ij, Elliott, P, Esko, T, Farrall, M, Franks, Pw, Freedman, Bi, Froguel, P, Gasparini, P, Gieger, C, Horta, Bl, Juang, Jj, Kamatani, Y, Kammerer, Cm, Kato, N, Kooner, J, Laakso, M, Laurie, Cc, Lee, It, Lehtimäki, T, Lifelines, Cohort, Magnusson, Pke, Oldehinkel, Aj, Penninx, Bwjh, Pereira, Ac, Rauramaa, R, Redline, S, Samani, Nj, Scott, J, Shu, Xo, van der Harst, P, Wagenknecht, Le, Wang, J, Wang, Yx, Wareham, Nj, Watkins, H, Weir, Dr, Wickremasinghe, Ar, Wu, T, Zeggini, E, Zheng, W, Bouchard, C, Evans, Mk, Gudnason, V, Kardia, Slr, Liu, Y, Psaty, Bm, Ridker, Pm, van Dam, Rm, Mook-Kanamori, Do, Fornage, M, Province, Ma, Kelly, Tn, Fox, Er, Hayward, C, van Duijn, Cm, Tai, E, Wong, Ty, Loos, Rjf, Franceschini, N, Rotter, Ji, Zhu, X, Bierut, Lj, Gauderman, Wj, Rice, K, Munroe, Pb, Morrison, Ac, Rao, Dc, Rotimi, Cn, Cupples, La., Luan, Jian'an [0000-0003-3137-6337], Pietzner, Maik [0000-0003-3437-9963], Zhao, Jing Hua [0000-0003-4930-3582], Forouhi, Nita [0000-0002-5041-248X], Langenberg, Claudia [0000-0002-5017-7344], Wareham, Nicholas [0000-0003-1422-2993], Apollo - University of Cambridge Repository, Epidemiology, Neurology, Radiology & Nuclear Medicine, Internal Medicine, Life Course Epidemiology (LCE), Interdisciplinary Centre Psychopathology and Emotion regulation (ICPE), Cardiovascular Centre (CVC), Home Office, Action on Hearing Loss, Imperial College Healthcare NHS Trust- BRC Funding, Medical Research Council (MRC), Universiteit Leiden, Institut Pasteur [Paris] (IP)-Centre National de la Recherche Scientifique (CNRS), Metabolic functional (epi)genomics and molecular mechanisms involved in type 2 diabetes and related diseases - UMR 8199 - UMR 1283 (EGENODIA (GI3M)), University of Oxford, Psychiatry, Amsterdam Neuroscience - Complex Trait Genetics, APH - Mental Health, and APH - Digital Health
- Subjects
Male ,Linkage disequilibrium ,Blood lipids ,Genome-wide association study ,VARIANTS ,SUSCEPTIBILITY ,Environment interaction ,Genome ,Linkage Disequilibrium ,MESH: Genotype ,0302 clinical medicine ,MESH: Aged, 80 and over ,Genotype ,NICOTINE METABOLISM ,11 Medical and Health Sciences ,Genetics & Heredity ,Aged, 80 and over ,Genetics ,MESH: Aged ,0303 health sciences ,ARCHITECTURE ,[STAT.AP]Statistics [stat]/Applications [stat.AP] ,Genotype imputation ,MESH: Middle Aged ,CHOLESTEROL ,Smoking ,MESH: Life Style ,Lifelines Cohort ,Middle Aged ,Lipids ,3. Good health ,ENVIRONMENT INTERACTION ,GENOTYPE IMPUTATION ,RISK LOCI ,METAANALYSIS ,CIGARETTES ,Cholesterol ,MESH: Linkage Disequilibrium ,MESH: Young Adult ,Meta-analysis ,Genome-Wide Association Study/methods ,Smoking/blood ,Medical genetics ,Female ,EPIC-InterAct Consortium ,Life Sciences & Biomedicine ,[STAT.ME]Statistics [stat]/Methodology [stat.ME] ,Adult ,Metaanalysi ,Understanding Society Scientific Group ,medicine.medical_specialty ,MESH: Smoking ,Adolescent ,Genomics ,COGENT-Kidney Consortium ,Biology ,Nicotine metabolism ,Risk loci ,Metaanalysis ,Cigarettes ,Article ,Young Adult ,03 medical and health sciences ,genomics ,medicine ,Humans ,Linkage Disequilibrium/genetics ,Life Style ,Aged ,030304 developmental biology ,MESH: Adolescent ,Science & Technology ,MESH: Humans ,Lipids/blood ,MESH: Adult ,06 Biological Sciences ,MESH: Lipids ,MESH: Male ,cardiovascular diseases ,[SDV.GEN.GH]Life Sciences [q-bio]/Genetics/Human genetics ,genome-wide association studies ,MESH: Genome-Wide Association Study ,[SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologie ,[INFO.INFO-BI]Computer Science [cs]/Bioinformatics [q-bio.QM] ,MESH: Female ,030217 neurology & neurosurgery ,Developmental Biology ,Genome-Wide Association Study - Abstract
The concentrations of high- and low-density lipoprotein cholesterol and triglycerides are influenced by smoking, but it is unknown whether genetic associations with lipids may be modified by smoking. We conducted a multi-ancestry genome-wide gene-smoking interaction study in 133,805 individuals with follow-up in an additional 253,467 individuals. Combined meta-analyses identified 13 novel loci, some of which were detected only because the association differed by smoking status. Additionally, we demonstrated the importance of including diverse populations, particularly in studies of interactions with lifestyle factors, where genomic and lifestyle differences by ancestry may contribute to novel findings., Editorial summary: A multi-ancestry genome-wide gene-smoking interaction study identifies 13 new loci associated with serum lipids.
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- 2019
12. Genetic studies of body mass index yield new insights for obesity biology
- Author
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V, Heath, S, Sober, S, Arora, P, Zhang, F, Lucas, G, Milaneschi, Y, Parker, A, Fava, C, Fox, E, Go, M, Sjogren, M, Vinay, D, Alexander, M, Tabara, Y, Shaw-Hawkins, S, Whincup, P, Shi, G, Seielstad, M, Sim, X, Nguyen, K, Matullo, G, Gaunt, T, Onland-Moret, N, Cooper, M, Platou, C, Org, E, Hardy, R, Dahgam, S, Palmen, J, Kuznetsova, T, Uiterwaal, C, Adeyemo, A, Ludwig, B, Tomaszewski, M, Tzoulaki, I, Palmer, N, Chang, Y, Steinle, N, Grobbee, D, Morrison, A, Najjar, S, Hadley, D, Brown, M, Connell, J, Day, I, Lawlor, D, Lawrence, R, Ongen, H, Li, Y, Young, J, Bis, J, Chaturvedi, N, Islam, M, Jafar, T, Kulkarni, S, Howard, P, Guarrera, S, Ricceri, F, Emilsson, V, Plump, A, Weder, A, Sun, Y, Scott, L, Peltonen, L, Vartiainen, E, Brand, S, Staessen, J, Wang, T, Burton, P, Artigas, M, Dong, Y, Wang, X, Zhu, H, Rudock, M, Heckbert, S, Smith, N, Wiggins, K, Doumatey, A, Shriner, D, Veldre, G, Viigimaa, M, Kinra, S, Prabhakaran, D, Tripathy, V, Langefeld, C, Rosengren, A, Thelle, D, Corsi, A, Singleton, A, Hilton, G, Salako, T, Iwai, N, Kita, Y, Ogihara, T, Ohkubo, T, Okamura, T, Ueshima, H, Umemura, S, Eyheramendy, S, Meitinger, T, Cho, Y, Scott, J, Sehmi, J, Hedblad, B, Nilsson, P, Smith, G, Raffel, L, Yao, J, Schwartz, S, Ikram, M, W, L, Mosley, T, Seshadri, S, Shrine, N, Wain, L, Zitting, P, Cooper, J, van Gilst, W, Janipalli, C, Mani, K, Yajnik, C, Mattace-Raso, F, Lakatta, E, Orru, M, Scuteri, A, Ala-Korpela, M, Kangas, A, Soininen, P, Tukiainen, T, Wurtz, P, Ong, R, Dorr, M, Galan, P, Hercberg, S, Lathrop, M, Zelenika, D, Zhai, G, Meschia, J, Sharma, P, Terzic, J, Kumar, M, Denniff, M, Zukowska-Szczechowska, E, Wagenknecht, L, Fowkes, F, Charchar, F, Guo, X, Rotimi, C, Bots, M, Brand, E, Talmud, P, Nyberg, F, Laan, M, Palmer, L, van der Schouw, Y, Casas, J, Vineis, P, Ganesh, S, Wong, T, Tai, E, Morris, R, Marmot, M, Miki, T, Chandak, G, Zhu, X, Elosua, R, Soranzo, N, Sijbrands, E, Uda, M, Vasan, R, Alizadeh, B, de Boer, R, Boezen, H, Hillege, H, van der Klauw, M, Ormel, J, Rosmalen, J, Slaets, J, Lagou, V, Welch, R, Wheeler, E, Rehnberg, E, Rasmussen-Torvik, L, Lecoeur, C, Johnson, P, Sennblad, B, Salo, P, Timpson, N, Evans, D, St Pourcain, B, Bielak, L, Horikoshi, M, Navarro, P, Raychaudhuri, S, Chen, H, Rybin, D, Willems, S, Song, K, An, P, Marullo, L, Jansen, H, Pankow, J, Edkins, S, Varga, T, Oksa, H, Antonella, M, Kong, A, Herder, C, Antti, J, Small, K, Miljkovic, I, Atalay, M, Kiess, W, Smit, J, Campbell, S, Fowkes, G, Rathmann, W, Maerz, W, Watanabe, R, de Geus, E, Penninx, B, Toenjes, A, Peyser, P, Korner, A, Dupuis, J, Cucca, F, Balkau, B, Bouatia-Naji, N, Purcell, S, Musunuru, K, Ardissino, D, Mannucci, P, Anand, S, Engert, J, Morgan, T, Spertus, J, Stoll, M, Girelli, D, Mckeown, P, Patterson, C, Merlini, P, Berzuini, C, Bernardinelli, L, Peyvandi, F, Tubaro, M, Celli, P, Fetiveau, R, Marziliano, N, Casari, G, Galli, M, Ribichini, F, Rossi, M, Bernardi, F, Zonzin, P, Piazza, A, Yee, J, Friedlander, Y, Marrugat, J, Subirana, I, Sala, J, Ramos, R, Williams, G, Nathan, D, Macrae, C, Berglund, G, Asselta, R, Duga, S, Spreafico, M, Daly, M, Nemesh, J, Korn, J, Surti, A, Gianniny, L, Parkin, M, Burtt, N, Gabriel, S, Wright, B, Ball, S, Schunkert, I, Linsel-Nitschke, P, Lieb, W, Fischer, M, Grosshennig, A, Preuss, M, Scholz, M, Chen, Z, Wilensky, R, Matthai, W, Qasim, A, Hakonarson, H, Devaney, J, Pichard, A, Kent, K, Satler, L, Lindsay, J, Waksman, R, Knouff, C, Scheffold, T, Berger, K, Huge, A, Martinelli, N, Olivieri, O, Corrocher, R, Xie, C, Ahmadi, K, Ainali, C, Bataille, V, Bell, J, Buil, A, Dermitzakis, E, Dimas, A, Durbin, R, Glass, D, Hassanali, N, Ingle, C, Knowles, D, Krestyaninova, M, Lowe, C, Meduri, E, Di Meglio, P, Montgomery, S, Nestle, F, Nica, A, Nisbet, J, O'Rahilly, S, Parts, L, Potter, S, Sekowska, M, Shin, S, Surdulescu, G, Travers, M, Tsaprouni, L, Tsoka, S, Wilk, A, Yang, T, Higashio, J, Williams, R, Nato, A, Ambite, J, Deelman, E, Manolio, T, Heiss, G, Taylor, K, Avery, C, Graff, M, Lin, D, Quibrera, M, Cochran, B, Kao, L, Umans, J, Cole, S, Maccluer, J, Person, S, Gross, M, Fornage, M, Durda, P, Jenny, N, Patsy, B, Arnold, A, Buzkova, P, Haines, J, Murdock, D, Glenn, K, Brown-Gentry, K, Thornton-Wells, T, Dumitrescu, L, Bush, W, Mitchell, S, Goodloe, R, Wilson, S, Boston, J, Malinowski, J, Restrepo, N, Oetjens, M, Fowke, J, Spencer, K, Pendergrass, S, Le Marchand, L, Park, L, Tiirikainen, M, Kolonel, L, Cheng, I, Wang, H, Shohet, R, Stram, D, Henderson, B, Monroe, K, Anderson, G, Carlson, C, Prentice, R, Lacroix, A, Wu, C, Carty, C, Rosse, S, Young, A, Kocarnik, J, Lin, Y, Jackson, R, Duggan, D, Kuller, L, He, C, Sulem, P, Barbalic, M, Broer, L, Byrne, E, Gudbjartsson, D, Mcardle, P, Porcu, E, van Wingerden, S, Zhuang, W, Lauc, L, Broekmans, F, Burri, A, Chen, C, Corre, T, Coviello, A, D'Adamo, P, Davies, G, Deary, I, Ebrahim, S, Fauser, B, Ferreli, L, Folsom, A, Hankinson, S, Hass, M, Janssens, A, Karasik, D, Keyzer, J, Kiel, D, Lahti, J, Lai, S, Laisk, T, Laven, J, Liu, J, Lopez, L, Louwers, Y, Marongiu, M, Klaric, I, Masciullo, C, Melzer, D, Newman, A, Pare, G, Peeters, P, Pop, V, Raikkonen, K, Salumets, A, Stacey, S, Starr, J, Stathopoulou, M, Styrkarsdottir, U, Tenesa, A, Tryggvadottir, L, Tsui, K, van Dam, R, van Gils, C, van Nierop, P, Vink, J, Voorhuis, M, Widen, E, Wijnands-Van Gent, C, Yerges-Armstrong, L, Zgaga, L, Zygmunt, M, Buring, J, Crisponi, L, Demerath, E, Streeten, E, Murray, A, Visser, J, Lunetta, K, Elks, C, Cousminer, D, Koller, D, Lin, P, Smith, E, Warrington, N, Alavere, H, Berenson, G, Blackburn, H, Busonero, F, Chen, W, Couper, D, Easton, D, Foroud, T, Kilpelainen, T, Li, S, Murray, S, Ness, A, Northstone, K, Peacock, M, Pennell, C, Pharoah, P, Rafnar, T, Rice, J, Ring, S, Schork, N, Segre, A, Sovio, U, Srinivasan, S, Tammesoo, M, van Meurs, J, Young, L, Bierut, L, Econs, M, The ADIPOGen Consortium, The AGEN-BMI Working Group, The CARDIOGRAMplusC4D Consortium, The CKDGen Consortium, The GLGC, The ICBP, The MAGIC Investigators, The MuTHER Consortium, The MIGen Consortium, The PAGE Consortium, The ReproGen Consortium, The GENIE Consortium, The International Endogene Consortium, Berndt, Sonja I, Justice, Anne E, Hyppönen, Elina Tuulikki, Epidemiology and Data Science, NCA - Neurobiology of mental health, and EMGO - Lifestyle, overweight and diabetes
- Subjects
Male ,LOCI ,Genome-wide association study ,Continental Population Groups/genetics ,VARIANTS ,Body Mass Index ,Insulin Secretion ,Insulin ,Age Factor ,Adiposity ,ddc:616 ,Adipogenesis ,Genetic Predisposition to Disease/genetics ,Synapse ,3. Good health ,Continental Population Group ,Urological cancers Radboud Institute for Health Sciences [Radboudumc 15] ,GENOME-WIDE ASSOCIATIONPROVIDES INSIGHTSGLYCEMIC TRAITSLOCIMETAANALYSISVARIANTSINDIVIDUALSHIPPOCAMPALARCHITECTURETOPIRAMATE ,ddc:500 ,Adipogenesis/genetics ,Single Nucleotide/genetics ,Age Factors ,Continental Population Groups ,Energy Metabolism ,Europe ,Female ,Genetic Predisposition to Disease ,Glutamic Acid ,Humans ,Obesity ,Polymorphism, Single Nucleotide ,Quantitative Trait Loci ,Synapses ,Genome-Wide Association Study ,Multidisciplinary ,genetics [Adiposity] ,Human ,Socio-culturale ,genetics [Energy Metabolism] ,ta3111 ,genetic, body mass index, obesity ,SDG 3 - Good Health and Well-being ,GLYCEMIC TRAITS ,genetics [Continental Population Groups] ,Genetic variability ,Polymorphism ,GENOME-WIDE ASSOCIATION ,genetics [Adipogenesis] ,METAANALYSIS ,Genetic association ,Adipogenesi ,genetics [Quantitative Trait Loci] ,ta1184 ,metabolism [Glutamic Acid] ,ta1182 ,PATHWAYS ,metabolism [Synapses] ,ta3121 ,medicine.disease ,metabolism [Insulin] ,Adiposity/genetics ,Clinical Medicine ,Quantitative Trait Loci/genetics ,Body mass index ,HUMAN HEIGHT ,BIO/12 - BIOCHIMICA CLINICA E BIOLOGIA MOLECOLARE CLINICA ,Synapses/metabolism ,Medizin ,Obesity/genetics ,Bioinformatics ,genetic basis ,Obesity/metabolism ,genetics [Obesity] ,body mass index (BMI) ,genetics [Genetic Predisposition to Disease] ,ethnology [Europe] ,2. Zero hunger ,Genetics ,ARCHITECTURE ,Genetics of obesity ,Medicine (all) ,Single Nucleotide ,Polymorphism, Single Nucleotide/genetics ,Insulin/metabolism/secretion ,Glutamic Acid/metabolism ,genetics [Polymorphism, Single Nucleotide] ,EXPRESSION ,Insulin/metabolism ,PROVIDES INSIGHTS ,genetics [Racial Groups] ,Biology ,Obesity/genetics/metabolism ,Europe/ethnology ,metabolism [Obesity] ,Mendelian randomization ,medicine ,Energy Metabolism/genetics ,body mass, genetic analysis, obesity ,Klinisk medicin - Abstract
Item does not contain fulltext Obesity is heritable and predisposes to many diseases. To understand the genetic basis of obesity better, here we conduct a genome-wide association study and Metabochip meta-analysis of body mass index (BMI), a measure commonly used to define obesity and assess adiposity, in up to 339,224 individuals. This analysis identifies 97 BMI-associated loci (P < 5 x 10(-8)), 56 of which are novel. Five loci demonstrate clear evidence of several independent association signals, and many loci have significant effects on other metabolic phenotypes. The 97 loci account for approximately 2.7% of BMI variation, and genome-wide estimates suggest that common variation accounts for >20% of BMI variation. Pathway analyses provide strong support for a role of the central nervous system in obesity susceptibility and implicate new genes and pathways, including those related to synaptic function, glutamate signalling, insulin secretion/action, energy metabolism, lipid biology and adipogenesis.
- Published
- 2015
13. New genetic loci link adipose and insulin biology to body fat distribution
- Author
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Shungin, Dmitry, Winkler, Thomas W, Workalemahu, Tsegaselassie, Hartman, Catharina A, Duncan, Emma L, Ntzani, Evangelia E, Oei, Ling, Albagha, Omar M E, Amin, Najaf, Kemp, John P, Koller, Daniel L, Li, Guo, Liu, Ching-Ti, Minster, Ryan L, Hassinen, Maija, Moayyeri, Alireza, Vandenput, Liesbeth, Willner, Dana, Xiao, Su-Mei, Yerges-Armstrong, Laura M, Zheng, Hou-Feng, Alonso, Nerea, Eriksson, Joel, Kammerer, Candace M, Kaptoge, Stephen K, Hayward, Caroline, Leo, Paul J, Thorleifsson, Gudmar, Wilson, Scott G, Wilson, James F, Aalto, Ville, Alen, Markku, Aragaki, Aaron K, Aspelund, Thor, Center, Jacqueline R, Dailiana, Zoe, Heikkilä, Kauko, Duggan, David J, Garcia, Melissa, Garcia-Giralt, Natàlia, Giroux, Sylvie, Hallmans, Göran, Hocking, Lynne J, Husted, Lise Bjerre, Jameson, Karen A, Khusainova, Rita, Kim, Ghi Su, Herzig, Karl-Heinz, Kooperberg, Charles, Koromila, Theodora, Kruk, Marcin, Laaksonen, Marika, Lacroix, Andrea Z, Lee, Seung Hun, Leung, Ping C, Lewis, Joshua R, Masi, Laura, 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Surdulescu, G., Travers, ME., Tsaprouni, L., Tsoka, S., Wilk, A., Matise, T., Buyske, S., Higashio, J., Williams, R., Nato, A., Ambite, JL., Deelman, E., Manolio, T., Hindorff, L., Heiss, G., Taylor, K., Avery, C., Graff, M., Lin, D., Quibrera, M., Cochran, B., Kao, L., Umans, J., Cole, S., MacCluer, J., Person, S., Pankow, J., Gross, M., Fornage, M., Durda, P., Jenny, N., Patsy, B., Arnold, A., Buzkova, P., Crawford, D., Haines, J., Murdock, D., Glenn, K., Brown-Gentry, K., Thornton-Wells, T., Dumitrescu, L., Jeff, J., Bush, WS., Mitchell, SL., Goodloe, R., Wilson, S., Boston, J., Malinowski, J., Restrepo, N., Oetjens, M., Fowke, J., Zheng, W., Spencer, K., Ritchie, M., Pendergrass, S., Le Marchand£££Loïc£££ L., Wilkens, L., Park, L., Tiirikainen, M., Kolonel, L., Lim, U., Cheng, I., Wang, H., Shohet, R., Haiman, C., Stram, D., Henderson, B., Monroe, K., Schumacher, F., Peters, U., Anderson, G., Carlson, C., Prentice, R., LaCroix, A., Wu, C., Carty, C., Gong, J., Rosse, S., Young, A., Haessler, J., Kocarnik, J., Lin, Y., Jackson, R., Duggan, D., Kuller, L., Stolk, L., He, C., Sulem, P., Barbalic, M., Broer, L., Byrne, EM., Gudbjartsson, DF., McArdle, PF., Porcu, E., van Wingerden, S., Zhuang, W., Albrecht, E., Alizadeh, BZ., Lauc, LB., Broekmans, FJ., Burri, A., Chanock, SJ., Chen, C., Corre, T., Coviello, AD., d'Adamo, P., Davies, G., Deary, IJ., Ebrahim, S., Fauser, BC., Ferreli, L., Folsom, AR., Garcia, ME., Hall, P., Haller, T., Hankinson, SE., Hass, M., Heath, AC., Janssens, AC., Keyzer, J., Lahti, J., Lai, S., Laisk, T., Laven, JS., Liu, J., Lopez, LM., Louwers, YV., Marongiu, M., Klaric, IM., Masciullo, C., McKnight, B., Medland, SE., Melzer, D., Newman, AB., Paré, G., Peeters, PH., Plump, AS., Pop, VJ., Räikkönen, K., Salumets, A., Smith, JA., Stacey, SN., Starr, JM., Stathopoulou, MG., Tenesa, A., Thorand, B., Tryggvadottir, L., Tsui, K., van Dam RM., van Gils CH., van Nierop, P., Vink, JM., Voorhuis, M., Wallaschofski, H., Widen, E., Wijnands-van Gent CJ., Zgaga, L., Zygmunt, M., Arnold, AM., Buring, JE., Crisponi, L., Demerath, EW., Hunter, DJ., Schlessinger, D., Murray, A., Murabito, JM., Visser, JA., Lunetta, KL., Elks, CE., Cousminer, DL., Feenstra, B., Lin, P., van Wingerden SW., Smith, EN., Warrington, NM., Alavere, H., Barroso, I., Berenson, GS., Blackburn, H., Busonero, F., Chen, W., Couper, D., Easton, DF., Foroud, T., Geller, F., Hernandez, DG., Kilpeläinen, TO., Li, S., Melbye, M., Murray, JC., Murray, SS., Nelis, M., Ness, AR., Northstone, K., Pennell, CE., Pharoah, P., Rafnar, T., Rice, JP., Ring, SM., Schork, NJ., Segrè, AV., Sovio, U., Srinivasan, SR., Tammesoo, ML., Tyrer, J., Weedon, MN., Wichmann, H., Young, L., Zhuang, WV., Bierut, LJ., Boyd, HA., Department of Clinical Sciences, Lund University [Lund], Genetic Epidemiology and Clinical Research Group, Umea University Hospital, Department of Odontology, Umeå University, Signalisation et Transports Ioniques Membranaires (STIM), Université de Poitiers-Université de Tours (UT)-Centre National de la Recherche Scientifique (CNRS), Department of Medical Sciences, Center for Biological Sequence Analysis [Lyngby], Danmarks Tekniske Universitet = Technical University of Denmark (DTU), Laboratory of Image Science and Technology [Nanjing] (LIST), Southeast University [Jiangsu]-School of Computer Science and Engineering, Limnology, Ecology, Estonian Genome and Medicine, University of Tartu, Institute of Molecular and Cell Biology, Department of Medical Epidemiology and Biostatistics (MEB), Karolinska Institutet [Stockholm], Department of Medical Genetics, Université de Lausanne = University of Lausanne (UNIL), Institute of Medical Informatics, Biometry and Epidemiology, Universität Duisburg-Essen = University of Duisburg-Essen [Essen], Centre d'Immunologie de Marseille - Luminy (CIML), Aix Marseille Université (AMU)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Genetic Epidemiology Unit, Erasmus University Medical Center [Rotterdam] (Erasmus MC), Space Sciences Laboratory [Berkeley] (SSL), University of California [Berkeley] (UC Berkeley), University of California (UC)-University of California (UC), Department of Biostatistics and Center for Statistical Genetics, University of Michigan [Ann Arbor], University of Michigan System-University of Michigan System, Division of Statistical Genomics, Washington University School of Medicine, King‘s College London, Department of Medicine, University of Eastern Finland-Kuopio University Hospital, Molecular Genetics Section, University of Groningen [Groningen]-University Medical Centre Groningen, Metabolic functional (epi)genomics and molecular mechanisms involved in type 2 diabetes and related diseases - UMR 8199 - UMR 1283 (EGENODIA (GI3M)), Institut Pasteur de Lille, Réseau International des Instituts Pasteur (RIIP)-Réseau International des Instituts Pasteur (RIIP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Lille-Centre National de la Recherche Scientifique (CNRS), Geriatric Rehabilitation Unit, Azienda Sanitaria Firenze, Department of Pharmacy Sciences, Creighton University Medical Center, Medical Department III, Universität Leipzig, Foie, métabolismes et cancer, Université de Rennes (UR)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Structure Fédérative de Recherche en Biologie et Santé de Rennes ( Biosit : Biologie - Santé - Innovation Technologique ), Department of Epidemiology, Erasmus Medical Centre, Netherlands Genomics Initiative (NGI), Netherlands Genomics Initiative, Institute of Epidemiology [Neuherberg] (EPI), German Research Center for Environmental Health - Helmholtz Center München (GmbH), Department of Public Health and Clinical Medicine, Medstar Research Institute, Genetics and Pathology, Finnish Institute of Occupational Health, Epidemiology, University Medical Centre Groningen, Departments of Microbiology & Molecular Genetics and Molecular Biology & Biochemistry, University of California [Irvine] (UC Irvine), Department of Odontology, Cariology, Institute of Human Genetics, Helmholtz Zentrum München = German Research Center for Environmental Health, Génétique des maladies multifactorielles (GMM), Université de Lille, Droit et Santé-Centre National de la Recherche Scientifique (CNRS), Division of Cardiology, Geneva University Hospital (HUG), Department of Psychiatry and Psychotherapy, Rheinische Friedrich-Wilhelms-Universität Bonn, Department of Physics, Indian Institute of Technology Kanpur (IIT Kanpur), University of North Carolina [Chapel Hill] (UNC), University of North Carolina System (UNC)-University of North Carolina System (UNC), Department of Genomics, Life and Brain Center, Universität Bonn = University of Bonn, Anaesthesia and Intensive care, Royal Aberdeen Childrens Hospital, UCL Institute of neurology, UCL Institute of Neurology, Human Genetics, The Wellcome Trust Sanger Institute [Cambridge], Departments of Epidemiology and Nutrition, Harvard School of Public Health, Institute of Experimental Medicine, Czech Academy of Sciences [Prague] (CAS), Department of Medical Sciences and Uppsala Clinical Research Center, Uppsala University Hospital, Department of Genetics, University of Groningen [Groningen], deCODE Genetics, deCODE genetics [Reykjavik], Pediatric Pulmonology, Allergology & Epidemiology, University of Groningen [Groningen]-University Medical Center Groningen [Groningen] (UMCG)-Beatrix Children's Hospital-Groningen Research Institute for Asthma and COPD, Department of Nutrition-Dietetics, Harokopio University of Athens, Yale School of Medicine [New Haven, Connecticut] (YSM), National Heart and Lung Institute (NHLI), Imperial College London, Queensland Institute of Medical Research, Concord Hospital, Epidémiologie des maladies chroniques : impact des interactions gène environnement sur la santé des populations, Réseau International des Instituts Pasteur (RIIP)-Réseau 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= University of Helsinki, Unit of Genetic Epidemiology and Bioinformatics, Department of Epidemiology, University Medical Center Groningen, Department of Pediatrics, Augusta University - Medical College of Georgia, University System of Georgia (USG)-University System of Georgia (USG), Department of Public Health, South Ostrobothnia Central Hospital, Department of Clinical and Preventive Medicine, Danube-University Krems, Netherlands Consortium for Healthy Aging [Leiden, Netherlands] (NCHA), Institute of Public Health and Clinical Nutrition, University of Eastern Finland, MRC epidemiology Unit, Institute of Epidemiology, Clinical Genetics Branch, Division of Cancer Epidemiology & Genetics, National Institutes of Health [Bethesda] (NIH)-National Cancer Institute [Bethesda] (NCI-NIH), National Institutes of Health [Bethesda] (NIH), Department of Oncology, Queensland Brain Institute, University of Queensland [Brisbane], Harvard Reproductive Sciences Center and Reproductive Endocrine Unit, 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(BU)-National Heart, Lung, and Blood Institute [Bethesda] (NHLBI), Endocrinology and Metabolism, The Churchill Hospital-Oxford Centre for Diabetes, Landsteiner Laboratory, Clinical Haematology, Other departments, ACS - Amsterdam Cardiovascular Sciences, Vascular Medicine, Lund University Diabetes Centre-Lund University [Lund], Université de Tours-Centre National de la Recherche Scientifique (CNRS)-Université de Poitiers, Technical University of Denmark [Lyngby] (DTU), Université de Lausanne (UNIL), Universität Duisburg-Essen [Essen], Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Aix Marseille Université (AMU), University of California [Berkeley], University of California-University of California, Génomique Intégrative et Modélisation des Maladies Métaboliques (EGID), Réseau International des Instituts Pasteur (RIIP)-Réseau International des Instituts Pasteur (RIIP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Lille-Centre Hospitalier Régional Universitaire [Lille] (CHRU Lille)-Centre National de la Recherche Scientifique (CNRS), Universität Leipzig [Leipzig], Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Structure Fédérative de Recherche en Biologie et Santé de Rennes ( Biosit : Biologie - Santé - Innovation Technologique ), University of California [Irvine] (UCI), German Research Center for Environmental Health, University of Bonn, Czech Academy of Sciences [Prague] (ASCR), Yale University School of Medicine, University of Oxford [Oxford], German Research Center for Environmental Health-Helmholtz-Zentrum München (HZM), Laval University, Laval University [Québec], Turku University Hospital, Lausanne university hospital, Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES), Institut de biologie de Lille - IBL (IBLI), Université de Lille, Sciences et Technologies-Institut Pasteur de Lille, Réseau International des Instituts Pasteur (RIIP)-Réseau International des Instituts Pasteur (RIIP)-Université de Lille, Droit et Santé-Centre National de la Recherche Scientifique (CNRS), University of Helsinki-University of Helsinki, Helmholtz-Zentrum München (HZM), National Heart, Lung, and Blood Institute [Bethesda] (NHLBI)-Boston University [Boston] (BU), Internal Medicine, Child and Adolescent Psychiatry / Psychology, Clinical Genetics, Medical Informatics, Obstetrics & Gynecology, Lund University [Lund]-Lund University Diabetes Centre, Metabolic functional (epi)genomics and molecular mechanisms involved in type 2 diabetes and related diseases - UMR 8199 - UMR 1283 (GI3M), Institute of Medicine-University of Gothenburg (GU), Signalisation et Transports Ioniques Membranaires ( STIM ), Université de Poitiers-Centre National de la Recherche Scientifique ( CNRS ), Technical University of Denmark [Lyngby] ( DTU ), Laboratory of Image Science and Technology [Nanjing] ( LIST ), Department of Medical Epidemiology and Biostatistics ( MEB ), University of Lausanne, Centre d'Immunologie de Marseille - Luminy ( CIML ), Aix Marseille Université ( AMU ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ) -Centre National de la Recherche Scientifique ( CNRS ), Erasmus MC, Space Sciences Laboratory [Berkeley] ( SSL ), Génomique Intégrative et Modélisation des Maladies Métaboliques ( EGID ), Université de Lille-Institut National de la Santé et de la Recherche Médicale ( INSERM ) -Institut Pasteur de Lille, Réseau International des Instituts Pasteur ( RIIP ) -Réseau International des Instituts Pasteur ( RIIP ) -Centre National de la Recherche Scientifique ( CNRS ) -Centre Hospitalier Régional Universitaire [Lille] ( CHRU Lille ), University of Leipzig, Université de Rennes 1 ( UR1 ), Université de Rennes ( UNIV-RENNES ) -Université de Rennes ( UNIV-RENNES ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ) -Structure Fédérative de Recherche en Biologie et Santé de Rennes ( Biosit : Biologie - Santé - Innovation Technologique ), Institute of Epidemiology [Neuherberg] ( EPI ), University of California [Irvine] ( UCI ), Génétique des maladies multifactorielles ( GMM ), Université de Lille, Droit et Santé-Centre National de la Recherche Scientifique ( CNRS ), Geneva University Hospital ( HUG ), Bonn Universität [Bonn], Indian Institute of Technology Kanpur ( IIT Kanpur ), The University of North Carolina at Chapel Hill, Université de Bonn, Wellcome Trust Sanger Institute, Harvard University School of Public Health, Czech Academy of Sciences [Prague] ( ASCR ), deCODE genetics, University of Groningen [Groningen]-University Medical Center Groningen-Beatrix Children's Hospital-Groningen Research Institute for Asthma and COPD, Yale School of Medicine, National Heart and Lung Institute ( NHLI ), Réseau International des Instituts Pasteur ( RIIP ) -Réseau International des Instituts Pasteur ( RIIP ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ) -Université de Lille, Droit et Santé, University Medical Center Groningen, University of Cambridge [UK] ( CAM ), Wellcome Trust Centre for Human Genetics, University of Pisa [Pisa], University of Cambridge [UK] ( CAM ) -Institute of Metabolic Science, German Research Center for Environmental Health-Helmholtz-Zentrum München ( HZM ), University of Otago, University of Greifswald, University College of London [London] ( UCL ), National Institute for Health and Welfare, Queen's University [Belfast] ( QUB ), University of Hawaii at Manoa ( UHM ), University of Gothenburg ( GU ) -Institute of Medicine, Recherches en Psychopathologie, nouveaux symptômes et lien social ( EA 4050 ), Université de Poitiers-Université de Brest ( UBO ) -Université Catholique de l'Ouest-Université de Rennes 2 ( UR2 ), Université de Rennes ( UNIV-RENNES ) -Université de Rennes ( UNIV-RENNES ), Institut de biologie de Lille - IBL ( IBLI ), Réseau International des Instituts Pasteur ( RIIP ) -Réseau International des Instituts Pasteur ( RIIP ) -Université de Lille, Droit et Santé-Centre National de la Recherche Scientifique ( CNRS ), Institut Cochin ( UM3 (UMR 8104 / U1016) ), Université Paris Descartes - Paris 5 ( UPD5 ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ) -Centre National de la Recherche Scientifique ( CNRS ), University Medicine Greifswald,-HELIOS Hospital Stralsund, Finland Institute for Molecular Medicine ( FIMM ), Georgia Prevention Institute, Netherlands Consortium for Healthy Aging, Helmholtz-Zentrum München ( HZM ), National Institutes of Health ( NIH ) -National Cancer Institute ( NIH ), Massachusetts General Hospital, Children's Hospital, Boston, Broad Institute, Cambridge, MA, The University of North Carolina at Chapel Hill-UNC Gillings School of Global Public Health-Carolina Center for Genome Sciences, Shungin D, Winkler TW, Adipogen, Consortium, Cardiogramplusc4d, Consortium, Ckdgen, Consortium, Gefos, Consortium, Genie, Consortium, Glgc, Icbp, International, Endogene Consortium, Lifelines, Cohort Study, Magic, Investigator, Muther, Consortium, Consortium, Page, ReproGen Consortium, Amouyel P, D'Adamo, ADAMO PIO, Gasparini, Paolo, Shungin, Dmitry, Winkler, Thomas W, Croteau-Chonka, Damien C, Ferreira, Teresa, Hypponen, Elina, Mohlke, Karen L, ADIPOGEN Consortium, Int Endogene Consortium, Lee Kong Chian School of Medicine (LKCMedicine), Epidemiologie, RS: CARIM - R3.02 - Hypertension and target organ damage, Université de Tours-Université de Poitiers-Centre National de la Recherche Scientifique (CNRS), Centre National de la Recherche Scientifique (CNRS)-Université Paris Descartes - Paris 5 (UPD5)-Institut National de la Santé et de la Recherche Médicale (INSERM), Biological Psychology, Neuroscience Campus Amsterdam - Neurobiology of Mental Health, EMGO+ - Lifestyle, Overweight and Diabetes, Damage and Repair in Cancer Development and Cancer Treatment (DARE), Guided Treatment in Optimal Selected Cancer Patients (GUTS), Interdisciplinary Centre Psychopathology and Emotion regulation (ICPE), Life Course Epidemiology (LCE), Cardiovascular Centre (CVC), Groningen Kidney Center (GKC), Groningen Institute for Gastro Intestinal Genetics and Immunology (3GI), Groningen Research Institute for Asthma and COPD (GRIAC), Groningen Institute for Organ Transplantation (GIOT), Lifestyle Medicine (LM), Center for Liver, Digestive and Metabolic Diseases (CLDM), Stem Cell Aging Leukemia and Lymphoma (SALL), Shungin, D, Winkler, T, Croteau Chonka, D, Ferreira, T, Locke, A, Mägi, R, Strawbridge, R, Pers, T, Fischer, K, Justice, A, Workalemahu, T, Wu, J, Buchkovich, M, Heard Costa, N, Roman, T, Drong, A, Song, C, Gustafsson, S, Day, F, Esko, T, Fall, T, Kutalik, Z, Luan, J, Randall, J, Scherag, A, Vedantam, S, Wood, A, Chen, J, Fehrmann, R, Karjalainen, J, Kahali, B, Liu, C, Schmidt, E, Absher, D, Amin, N, Anderson, D, Beekman, M, Bragg Gresham, J, Buyske, S, Demirkan, A, Ehret, G, Feitosa, M, Goel, A, Jackson, A, Johnson, T, Kleber, M, Kristiansson, K, Mangino, M, Leach, I, Medina Gomez, C, Palmer, C, Pasko, D, Pechlivanis, S, Peters, M, Prokopenko, I, Stanca'Kova', A, Sung, Y, Tanaka, T, Teumer, A, Van Vliet Ostaptchouk, J, Yengo, L, Zhang, W, Albrecht, E, Ärnlöv, J, Arscott, G, Bandinelli, S, Barrett, A, Bellis, C, Bennett, A, Berne, C, Blüher, M, Böhringer, S, Bonnet, F, Böttcher, Y, Bruinenberg, M, Carba, D, Caspersen, I, Clarke, R, Daw, E, Deelen, J, Deelman, E, Delgado, G, Doney, A, Eklund, N, Erdos, M, Estrada, K, Eury, E, Friedrich, N, Garcia, M, Giedraitis, V, Gigante, B, Go, A, Golay, A, Grallert, H, Grammer, T, Gräsler, J, Grewal, J, Groves, C, Haller, T, Hallmans, G, Hartman, C, Hassinen, M, Hayward, C, Heikkilä, K, Herzig, K, Helmer, Q, Hillege, H, Holmen, O, Hunt, S, Isaacs, A, Ittermann, T, James, A, Johansson, I, Juliusdottir, T, Kalafati, I, Kinnunen, L, Koenig, W, Kooner, I, Kratzer, W, Lamina, C, Leander, K, Lee, N, Lichtner, P, Lind, L, Lindström, J, Lobbens, S, Lorentzon, M, Mach, F, Magnusson, P, Mahajan, A, Mcardle, W, Menni, C, Merger, S, Mihailov, E, Milani, L, Mills, R, Moayyeri, A, Monda, K, Mooijaart, S, Mühleisen, T, Mulas, A, Müller, G, Müller Nurasyid, M, Nagaraja, R, Nalls, M, Narisu, N, Glorioso, N, Nolte, I, Olden, M, Rayner, N, Renstrom, F, Ried, J, Robertson, N, Rose, L, Sanna, S, Scharnagl, H, Scholtens, S, Sennblad, B, Seufferlein, T, Sitlani, C, Smith, A, Stirrups, K, Stringham, H, Sundström, J, Swertz, M, Swift, A, Syvänen, A, Tayo, B, Thorand, B, Thorleifsson, G, Tomaschitz, A, Troffa, C, Van Oort, F, Verweij, N, Vonk, J, Waite, L, Wennauer, R, Wilsgaard, T, Wojczynski, M, Wong, A, Zhang, Q, Zhao, J, Brennan, E, Choi, M, Eriksson, P, Folkersen, L, Franco Cereceda, A, Gharavi, A, Hedman, A, Hivert, M, Huang, J, Kanoni, S, Karpe, F, Keildson, S, Kiryluk, K, Liang, L, Lifton, R, Ma, B, Mcknight, A, Mcpherson, R, Metspalu, A, Min, J, Moffatt, M, Montgomery, G, Murabito, J, Nicholson, G, Nyholt, D, Olsson, C, Perry, J, Reinmaa, E, Salem, R, Sandholm, N, Schadt, E, Scott, R, Stolk, L, Vallejo, E, Westra, H, Zondervan, K, Amouyel, P, Arveiler, D, Bakker, S, Beilby, J, Bergman, R, Blangero, J, Brown, M, Burnier, M, Campbell, H, Chakravarti, A, Chines, P, Claudi Boehm, S, Collins, F, Crawford, D, Danesh, J, De Faire, U, De Geus, E, Dörr, M, Erbel, R, Eriksson, J, Farrall, M, Ferrannini, E, Ferrières, J, Forouhi, N, Forrester, T, Franco, O, Gansevoort, R, Gieger, C, Gudnason, V, Haiman, C, Harris, T, Hattersley, A, Heliövaara, M, Hicks, A, Hingorani, A, Hoffmann, W, Hofman, A, Homuth, G, Humphries, S, Hyppönen, E, Illig, T, Jarvelin, M, Johansen, B, Jousilahti, P, Jula, A, Kaprio, J, Kee, F, Keinanen Kiukaanniemi, S, Kooner, J, Kooperberg, C, Kovacs, P, Kraja, A, Kumari, M, Kuulasmaa, K, Kuusisto, J, Lakka, T, Langenberg, C, Le Marchand, L, Lehtimäki, T, Lyssenko, V, Männistö, S, Marette, A, Matise, T, Mckenzie, C, Mcknight, B, Musk, A, Möhlenkamp, S, Morris, A, Nelis, M, Ohlsson, C, Oldehinkel, A, Ong, K, Palmer, L, Penninx, B, Peters, A, Pramstaller, P, Raitakari, O, Rankinen, T, Rao, D, Rice, T, Ridker, P, Ritchie, M, Rudan, I, Salomaa, V, Samani, N, Saramies, J, Sarzynski, M, Schwarz, P, Shuldiner, A, Staessen, J, Steinthorsdottir, V, Stolk, R, Strauch, K, Tönjes, A, Tremblay, A, Tremoli, E, Vohl, M, Völker, U, Vollenweider, P, Wilson, J, Witteman, J, Adair, L, Bochud, M, Boehm, B, Bornstein, S, Bouchard, C, Cauchi, S, Caulfield, M, Chambers, J, Chasman, D, Cooper, R, Dedoussis, G, Ferrucci, L, Froguel, P, Grabe, H, Hamsten, A, Hui, J, Hveem, K, Jöckel, K, Kivimaki, M, Kuh, D, Laakso, M, Liu, Y, März, W, Munroe, P, Njolstad, I, Oostra, B, Pedersen, N, Perola, M, Pe'Russe, L, Peters, U, Power, C, Quertermous, T, Rauramaa, R, Rivadeneira, F, Saaristo, T, Saleheen, D, Sinisalo, J, Slagboom, P, Snieder, H, Spector, T, Thorsteinsdottir, U, Stumvoll, M, Tuomilehto, J, Uitterlinden, A, Uusitupa, M, Van Der Harst, P, Veronesi, G, Walker, M, Wareham, N, Watkins, H, Wichmann, H, Abecasis, G, Assimes, T, Berndt, S, Boehnke, M, Borecki, I, Deloukas, P, Franke, L, Frayling, T, Groop, L, Hunter, D, Kaplan, R, O'Connell, J, Qi, L, Schlessinger, D, Strachan, D, Stefansson, K, Van Duijn, C, Willer, C, Visscher, P, Yang, J, Hirschhorn, J, Zillikens, M, Mccarthy, M, Speliotes, E, North, K, Fox, C, Barroso, I, Franks, P, Ingelsson, E, Heid, I, Loos, R, Cupples, L, Lindgren, C, Mohlke, K, Dastani, Z, Timpson, N, Yuan, X, Henneman, P, Kizer, J, Lyytikainen, L, Fuchsberger, C, Small, K, Coassin, S, Lohman, K, Pankow, J, Uh, H, Wu, Y, Bidulescu, A, Rasmussen Torvik, L, Greenwood, C, Ladouceur, M, Grimsby, J, Manning, A, Mooser, V, Kapur, K, Frants, R, Willemsvan vanDijk, K, Willems, S, Psaty, B, Tracy, R, Brody, J, Chen, I, Viikari, J, Kähönen, M, Evans, D, St Pourcain, B, Sattar, N, Carlson, O, Egan, J, van Heemst, D, Kedenko, L, Nuotio, M, Loo, B, Kanaya, A, Haun, M, Klopp, N, Katsareli, E, Couper, D, Duncan, B, Kloppenburg, M, Borja, J, Musani, S, Guo, X, Semple, R, Teslovich, T, Allison, M, Redline, S, Buxbaum, S, Meulenbelt, I, Ballantyne, C, Hu, F, Paulweber, B, Florez, J, Smith, G, Siscovick, D, Kronenberg, F, van Duijn, C, Waterworth, D, Meigs, J, Dupuis, J, Richards, J, Willenborg, C, Thompson, J, Erdmann, J, Goldstein, B, König, I, Cazier, J, Johansson, Å, Hall, A, Lee, J, Grundberg, E, Havulinna, A, Ho, W, Hopewell, J, Eriksson, N, Lundmark, P, Lyytikäinen, L, Rafelt, S, Tikkanen, E, Van Zuydam, N, Voight, B, Ziegler, A, Altshuler, D, Balmforth, A, Braund, P, Burgdorf, C, Cox, D, Dimitriou, M, Do, R, El Mokhtari, N, Fontanillas, P, Hager, J, Han, B, Kang, H, Kessler, T, Knowles, J, Kolovou, G, Langford, C, Lokki, M, Lundmark, A, Meisinger, C, Melander, O, Maouche, S, Nikus, K, Peden, J, Rasheed, A, Rosinger, S, Rubin, D, Rumpf, M, Schäfer, A, Sivananthan, M, Stewart, A, Tan, S, Thorgeirsson, G, van der Schoot, C, Wagner, P, Wells, G, Wild, P, Yang, T, Basart, H, Boerwinkle, E, Brambilla, P, Cambien, F, Cupples, A, de Faire, U, Dehghan, A, Diemert, P, Epstein, S, Evans, A, Ferrario, M, Gauguier, D, Goodall, A, Hazen, S, Holm, H, Iribarren, C, Jang, Y, Kim, H, Laaksonen, R, Ouwehand, W, Parish, S, Park, J, Rader, D, Shah, S, Stark, K, Trégouët, D, Virtamo, J, Wallentin, L, Zimmermann, M, Nieminen, M, Hengstenberg, C, Sandhu, M, Pastinen, T, Hovingh, G, Zalloua, P, Siegbahn, A, Schreiber, S, Ripatti, S, Blankenberg, S, O'Donnell, C, Reilly, M, Collins, R, Kathiresan, S, Roberts, R, Schunkert, H, Pattaro, C, Köttgen, A, Garnaas, M, Böger, C, Chen, M, Tin, A, Taliun, D, Li, M, Gao, X, Gorski, M, Yang, Q, Hundertmark, C, Foster, M, O'Seaghdha, C, Glazer, N, Struchalin, M, Li, G, Johnson, A, Gierman, H, Hwang, S, Atkinson, E, Cornelis, M, Chouraki, V, Holliday, E, Sorice, R, Deshmukh, H, Ulivi, S, Chu, A, Murgia, F, Trompet, S, Imboden, M, Kollerits, B, Pistis, G, Launer, L, Aspelund, T, Eiriksdottir, G, Mitchell, B, Schmidt, H, Cavalieri, M, Rao, M, de Andrade, M, Turner, S, Ding, J, Andrews, J, Freedman, B, Döring, A, Kolcic, I, Zemunik, T, Boban, M, Minelli, C, Wheeler, H, Igl, W, Zaboli, G, Wild, S, Wright, A, Ellinghaus, D, Nöthlings, U, Jacobs, G, Biffar, R, Endlich, K, Ernst, F, Kroemer, H, Nauck, M, Stracke, S, Völzke, H, Aulchenko, Y, Polasek, O, Hastie, N, Vitart, V, Helmer, C, Wang, J, Ruggiero, D, Bergmann, S, Nikopensius, T, Province, M, Ketkar, S, Colhoun, H, Robino, A, Giulianini, F, Krämer, B, Portas, L, Ford, I, Buckley, B, Adam, M, Thun, G, Sala, C, Metzger, M, Mitchell, P, Ciullo, M, Kim, S, Gasparini, P, Pirastu, M, Jukema, J, Probst Hensch, N, Toniolo, D, Coresh, J, Schmidt, R, Kardia, S, Curhan, G, Gyllensten, U, Franke, A, Rettig, R, Parsa, A, Goessling, W, Kao, W, de Boer, I, Peralta, C, Akylbekova, E, Kramer, H, van der Harst, P, Arking, D, Franceschini, N, Hernandez, D, Townsend, R, Lumley, T, Kestenbaum, B, Haritunians, T, Waeber, G, Lu, X, Leak, T, Aasarød, K, Skorpen, F, Baumert, J, Devuyst, O, Mychaleckyj, J, Hallan, S, Navis, G, Shlipak, M, Bull, S, Paterson, A, Rotter, J, Beckmann, J, Dreisbach, A, Styrkarsdottir, U, Evangelou, E, Hsu, Y, Duncan, E, Ntzani, E, Oei, L, Albagha, O, Kemp, J, Koller, D, Minster, R, Vandenput, L, Willner, D, Xiao, S, Yerges Armstrong, L, Zheng, H, Alonso, N, Kammerer, C, Kaptoge, S, Leo, P, Wilson, S, Aalto, V, Alen, M, Aragaki, A, Center, J, Dailiana, Z, Duggan, D, Garcia Giralt, N, Giroux, S, Hocking, L, Husted, L, Jameson, K, Khusainova, R, Kim, G, Koromila, T, Kruk, M, Laaksonen, M, Lacroix, A, Lee, S, Leung, P, Lewis, J, Masi, L, Mencej Bedrac, S, Nguyen, T, Nogues, X, Patel, M, Prezelj, J, Scollen, S, Siggeirsdottir, K, Svensson, O, Trummer, O, van Schoor, N, Woo, J, Zhu, K, Balcells, S, Brandi, M, Cheng, S, Christiansen, C, Cooper, C, Frost, M, Goltzman, D, González Macías, J, Karlsson, M, Khusnutdinova, E, Koh, J, Kollia, P, Langdahl, B, Leslie, W, Lips, P, Ljunggren, Ö, Lorenc, R, Marc, J, Mellström, D, Obermayer Pietsch, B, Olmos, J, Pettersson Kymmer, U, Reid, D, Riancho, J, Rousseau, F, Tang, N, Urreizti, R, Van Hul, W, Zarrabeitia, M, Castano Betancourt, M, Herrera, L, Ingvarsson, T, Johannsdottir, H, Kwan, T, Li, R, Luben, R, Medina Gómez, C, Palsson, S, Reppe, S, Sigurdsson, G, van Meurs, J, Verlaan, D, Williams, F, Zhou, Y, Gautvik, K, Raychaudhuri, S, Cauley, J, Clark, G, Cummings, S, Danoy, P, Dennison, E, Eastell, R, Eisman, J, Jackson, R, Jones, G, Khaw, K, Mccloskey, E, Nandakumar, K, Peacock, M, Pols, H, Prince, R, Reid, I, Robbins, J, Sambrook, P, Sham, P, Tylavsky, F, Econs, M, Kung, A, Reeve, J, Streeten, E, Karasik, D, Ralston, S, Ioannidis, J, Kiel, D, Forsblom, C, Isakova, T, Mckay, G, Williams, W, Sadlier, D, Mäkinen, V, Swan, E, Boright, A, Ahlqvist, E, Keller, B, Huang, H, Ahola, A, Fagerholm, E, Gordin, D, Harjutsalo, V, He, B, Heikkilä, O, Hietala, K, Kytö, J, Lahermo, P, Lehto, M, Österholm, A, Parkkonen, M, Pitkäniemi, J, Rosengård Bärlund, M, Saraheimo, M, Sarti, C, Söderlund, J, Soro Paavonen, A, Syreeni, A, Thorn, L, Tikkanen, H, Tolonen, N, Tryggvason, K, Wadén, J, Gill, G, Prior, S, Guiducci, C, Mirel, D, Taylor, A, Hosseini, M, Parving, H, Rossing, P, Tarnow, L, Ladenvall, C, Alhenc Gelas, F, Lefebvre, P, Rigalleau, V, Roussel, R, Tregouet, D, Maestroni, A, Maestroni, S, Falhammar, H, Gu, T, Möllsten, A, Cimponeriu, D, Mihai, I, Mota, M, Mota, E, Serafinceanu, C, Stavarachi, M, Hanson, R, Nelson, R, Kretzler, M, Panduru, N, Gu, H, Brismar, K, Zerbini, G, Hadjadj, S, Marre, M, Lajer, M, Waggott, D, Savage, D, Bain, S, Martin, F, Godson, C, Groop, P, Maxwell, A, Sengupta, S, Peloso, G, Ganna, A, Mora, S, Chang, H, Den Hertog, H, Donnelly, L, Fraser, R, Freitag, D, Gurdasani, D, Kaakinen, M, Kettunen, J, Li, X, Montasser, M, Petersen, A, Saxena, R, Service, S, Sidore, C, Surakka, I, Van den Herik, E, Volcik, K, Asiki, G, Been, L, Bolton, J, Bonnycastle, L, Burnett, M, Cesana, G, Elliott, P, Eyjolfsson, G, Goodarzi, M, Gravito, M, Hartikainen, A, Hung, Y, Jones, M, Kaleebu, P, Kastelein, J, Kim, E, Komulainen, P, Lin, S, Nieminen, T, Nsubuga, R, Olafsson, I, Palotie, A, Papamarkou, T, Pomilla, C, Pouta, A, Ruokonen, A, Seeley, J, Silander, K, Stančáková, A, Tiret, L, van Pelt, L, Wainwright, N, Wijmenga, C, Willemsen, G, Young, E, Bennett, F, Boomsma, D, Bovet, P, Chen, Y, Feranil, A, Freimer, N, Hsiung, C, Järvelin, M, Kesäniemi, A, Koudstaal, P, Krauss, R, Kyvik, K, Martin, N, Meneton, P, Moilanen, L, Njølstad, I, Price, J, Sanghera, D, Sheu, W, Whitfield, J, Wolffenbuttel, B, Ordovas, J, Rich, S, Johnson, L, Larson, M, Levy, D, Newton Cheh, C, O'Reilly, P, Palmas, W, Rice, K, Snider, H, Tobin, M, Verwoert, G, Pihur, V, Heath, S, Sõber, S, Arora, P, Zhang, F, Lucas, G, Milaneschi, Y, Parker, A, Fava, C, Fox, E, Go, M, Sjögren, M, Vinay, D, Alexander, M, Tabara, Y, Shaw Hawkins, S, Whincup, P, Shi, G, Seielstad, M, Sim, X, Nguyen, K, Matullo, G, Gaunt, T, Onland Moret, N, Cooper, M, Platou, C, Org, E, Hardy, R, Dahgam, S, Palmen, J, Kuznetsova, T, Uiterwaal, C, Adeyemo, A, Ludwig, B, Tomaszewski, M, Tzoulaki, I, Palmer, N, Chang, Y, Steinle, N, Grobbee, D, Morrison, A, Najjar, S, Hadley, D, Connell, J, Day, I, Lawlor, D, Lawrence, R, Ongen, H, Li, Y, Young, J, Bis, J, Chaturvedi, N, Islam, M, Jafar, T, Kulkarni, S, Grässler, J, Howard, P, Guarrera, S, Ricceri, F, Emilsson, V, Plump, A, Weder, A, Sun, Y, Scott, L, Peltonen, L, Vartiainen, E, Brand, S, Wang, T, Burton, P, Artigas, M, Dong, Y, Wang, X, Zhu, H, Rudock, M, Heckbert, S, Smith, N, Wiggins, K, Doumatey, A, Shriner, D, Veldre, G, Viigimaa, M, Kinra, S, Prabhakaran, D, Tripathy, V, Langefeld, C, Rosengren, A, Thelle, D, Corsi, A, Singleton, A, Hilton, G, Salako, T, Iwai, N, Kita, Y, Ogihara, T, Ohkubo, T, Okamura, T, Ueshima, H, Umemura, S, Eyheramendy, S, Meitinger, T, Cho, Y, Scott, J, Sehmi, J, Hedblad, B, Nilsson, P, Stanèáková, A, Raffel, L, Yao, J, Schwartz, S, Ikram, M, Longstreth W., J, Mosley, T, Seshadri, S, Shrine, N, Wain, L, Morken, M, Laitinen, J, Zitting, P, Cooper, J, van Gilst, W, Janipalli, C, Mani, K, Yajnik, C, Mattace Raso, F, Lakatta, E, Orru, M, Scuteri, A, Ala Korpela, M, Kangas, A, Soininen, P, Tukiainen, T, Würtz, P, Ong, R, Galan, P, Hercberg, S, Lathrop, M, Zelenika, D, Zhai, G, Meschia, J, Sharma, P, Terzic, J, Kumar, M, Denniff, M, Zukowska Szczechowska, E, Wagenknecht, L, Fowkes, F, Charchar, F, Rotimi, C, Bots, M, Brand, E, Talmud, P, Nyberg, F, Laan, M, van der Schouw, Y, Casas, J, Vineis, P, Ganesh, S, Wong, T, Tai, E, Morris, R, Dominiczak, A, Marmot, M, Miki, T, Chandak, G, Zhu, X, Elosua, R, Soranzo, N, Sijbrands, E, Uda, M, Vasan, R, Anderson, C, Gordon, S, Guo, Q, Henders, A, Lambert, A, Kraft, P, Kennedy, S, Macgregor, S, Missmer, S, Painter, J, Roseman, F, Treloar, S, Wallace, L, Alizadeh, B, de Boer, R, Boezen, H, van der Klauw, M, Ormel, J, Postma, D, Rosmalen, J, Slaets, J, Lagou, V, Welch, R, Wheeler, E, Rehnberg, E, Lecoeur, C, Johnson, P, Hottenga, J, Salo, P, Bielak, L, Zhao, W, Horikoshi, M, Navarro, P, Chen, H, Rybin, D, Song, K, An, P, Marullo, L, Jansen, H, Edkins, S, Varga, T, Oksa, H, Antonella, M, Kong, A, Herder, C, Antti, J, Miljkovic, I, Atalay, M, Kiess, W, Smit, J, Campbell, S, Fowkes, G, Rathmann, W, Maerz, W, Watanabe, R, de Geus, E, Toenjes, A, Peyser, P, Körner, A, Cucca, F, Balkau, B, Bouatia Naji, N, Ahmadi, K, Ainali, C, Bataille, V, Bell, J, Buil, A, Dermitzakis, E, Dimas, A, Durbin, R, Glass, D, Hassanali, N, Hedman, Å, Ingle, C, Knowles, D, Krestyaninova, M, Lowe, C, Meduri, E, di Meglio, P, Montgomery, S, Nestle, F, Nica, A, Nisbet, J, O'Rahilly, S, Parts, L, Potter, S, Sekowska, M, Shin, S, Surdulescu, G, Travers, M, Tsaprouni, L, Tsoka, S, Wilk, A, Higashio, J, Williams, R, Nato, A, Ambite, J, Manolio, T, Hindorff, L, Heiss, G, Taylor, K, Avery, C, Graff, M, Lin, D, Quibrera, M, Cochran, B, Kao, L, Umans, J, Cole, S, Maccluer, J, Person, S, Gross, M, Fornage, M, Durda, P, Jenny, N, Patsy, B, Arnold, A, Buzkova, P, Haines, J, Murdock, D, Glenn, K, Brown Gentry, K, Thornton Wells, T, Dumitrescu, L, Jeff, J, Bush, W, Mitchell, S, Goodloe, R, Boston, J, Malinowski, J, Restrepo, N, Oetjens, M, Fowke, J, Zheng, W, Spencer, K, Pendergrass, S, Wilkens, L, Park, L, Tiirikainen, M, Kolonel, L, Lim, U, Cheng, I, Wang, H, Shohet, R, Stram, D, Henderson, B, Monroe, K, Schumacher, F, Anderson, G, Carlson, C, Prentice, R, Wu, C, Carty, C, Gong, J, Rosse, S, Young, A, Haessler, J, Kocarnik, J, Lin, Y, Kuller, L, He, C, Sulem, P, Barbalic, M, Broer, L, Byrne, E, Gudbjartsson, D, Mcardle, P, Porcu, E, van Wingerden, S, Zhuang, W, Lauc, L, Broekmans, F, Burri, A, Chanock, S, Chen, C, Corre, T, Coviello, A, D'Adamo, P, Davies, G, Deary, I, Ebrahim, S, Fauser, B, Ferreli, L, Folsom, A, Hall, P, Hankinson, S, Hass, M, Heath, A, Janssens, A, Keyzer, J, Lahti, J, Lai, S, Laisk, T, Laven, J, Liu, J, Lopez, L, Louwers, Y, Marongiu, M, Klaric, I, Masciullo, C, Medland, S, Melzer, D, Newman, A, Paré, G, Peeters, P, Pop, V, Räikkönen, K, Salumets, A, Smith, J, Stacey, S, Starr, J, Stathopoulou, M, Tenesa, A, Tryggvadottir, L, Tsui, K, van Dam, R, van Gils, C, van Nierop, P, Vink, J, Voorhuis, M, Wallaschofski, H, Widen, E, Wijnands van Gent, C, Zgaga, L, Zygmunt, M, Buring, J, Crisponi, L, Demerath, E, Murray, A, Visser, J, Lunetta, K, Elks, C, Cousminer, D, Feenstra, B, Lin, P, Smith, E, Warrington, N, Alavere, H, Berenson, G, Blackburn, H, Busonero, F, Chen, W, Easton, D, Foroud, T, Geller, F, Kilpeläinen, T, Li, S, Melbye, M, Murray, J, Murray, S, Ness, A, Northstone, K, Pennell, C, Pharoah, P, Rafnar, T, Rice, J, Ring, S, Schork, N, Segrè, A, Sovio, U, Srinivasan, S, Tammesoo, M, Tyrer, J, Weedon, M, Young, L, Bierut, L, Boyd, H, Psychiatry, NCA - Neurobiology of mental health, and EMGO - Lifestyle, overweight and diabetes
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Adipose Tissue/metabolism ,Male ,genetic association ,subcutaneous fat ,Transcription, Genetic ,Adipocytes ,Adipogenesis ,Adipose Tissue ,Age Factors ,Body Mass Index ,Continental Population Groups ,Epigenesis, Genetic ,Europe ,Female ,Genome, Human ,Humans ,Insulin ,Insulin Resistance ,Models, Biological ,Neovascularization, Physiologic ,Obesity ,Polymorphism, Single Nucleotide ,Quantitative Trait Loci ,Sex Characteristics ,Waist-Hip Ratio ,Body Fat Distribution ,Genome-Wide Association Study ,Multidisciplinary ,Insulin Resistance/genetics ,Genome-wide association study ,Continental Population Groups/genetics ,genetic analysis ,heritability ,gene cluster ,Science::Biological sciences::Human anatomy and physiology [DRNTU] ,0302 clinical medicine ,high density lipoprotein cholesterol ,Models ,genetics [Insulin Resistance] ,histone modification ,Age Factor ,insulin receptor ,0303 health sciences ,Adipocyte ,Human/genetics ,CARDIOGRAMplusC4D Consortium ,ADIPOGENIC DIFFERENTIATION ,genetic correlation ,body fat ,Continental Population Group ,priority journal ,5 trisphosphate 3 phosphatase ,GEFOS Consortium ,meta analysis (topic) ,Science & Technology - Other Topics ,ddc:500 ,transcription regulation ,Adipogenesis/genetics ,Single Nucleotide/genetics ,Human ,medicine.medical_specialty ,Waist ,phosphatidylinositol 3 ,European ,ta3111 ,genetic regulation ,Article ,developmental biology ,03 medical and health sciences ,MAGIC Investigators ,transcription initiation site ,SDG 3 - Good Health and Well-being ,Genetic ,genomics ,GLYCEMIC TRAITS ,genetics [Continental Population Groups] ,Polymorphism ,GENOME-WIDE ASSOCIATION ,Physiologic ,genetics [Adipogenesis] ,Adipocytes/metabolism ,Europe/ethnology ,Genome, Human/genetics ,Insulin/metabolism ,Neovascularization, Physiologic/genetics ,Obesity/genetics ,Polymorphism, Single Nucleotide/genetics ,Quantitative Trait Loci/genetics ,Transcription, Genetic/genetics ,Genetic/genetics ,Adipogenesi ,Science & Technology ,adiponectin ,[ SDV ] Life Sciences [q-bio] ,vasculotropin ,genetics [Quantitative Trait Loci] ,ta1184 ,Racial Groups ,ta1182 ,gene mapping ,ta3121 ,triacylglycerol blood level ,medicine.disease ,Biological ,major clinical study ,amino acid sequence ,metabolism [Insulin] ,Endocrinology ,metabolism [Adipocytes] ,genetic loci, insulin, body fat ,GLGC ,International Endogene Consortium ,metabolism [Adipose Tissue] ,Body mass index ,HUMAN HEIGHT ,Epigenesis ,LifeLines Cohort Study ,ReproGen Consortium ,BIO/12 - BIOCHIMICA CLINICA E BIOLOGIA MOLECOLARE CLINICA ,tissue level ,Physiologic/genetics ,[SDV]Life Sciences [q-bio] ,Medizin ,Adipose tissue ,low density lipoprotein cholesterol ,PAGE Consortium ,COMMON SNPS ,angiogenesis ,Waist–hip ratio ,genetics [Obesity] ,MESH: Adipocytes/metabolism Adipogenesis/genetics Adipose Tissue/metabolism* Age Factors Body Fat Distribution* Body Mass Index Continental Population Groups/genetics Epigenesis, Genetic Europe/ethnology Female Genome, Human/genetics Genome-Wide Association Study* Humans Insulin/metabolism* Insulin Resistance/genetics Male Models, Biological Neovascularization, Physiologic/genetics Obesity/genetics Polymorphism, Single Nucleotide/genetics Quantitative Trait Loci/genetics* Sex Characteristics Transcription, Genetic/genetics Waist-Hip Ratio ,single nucleotide polymorphism ,fat ,genetic variability ,molecular biology ,body mass index (BMI) ,ethnology [Europe] ,peroxisome proliferator activated receptor ,2. Zero hunger ,Genetics ,Genome ,Single Nucleotide ,waist circumference ,insulin ,phosphatidylinositol 3,4,5 trisphosphate 3 phosphatase ,triacylglycerol ,vasculotropin, developmental biology ,gene expression ,genome ,numerical model, adipocyte ,adipose tissue ,body fat distribution ,body mass ,female ,gene locus ,gene structure ,hip circumference ,human ,insulin resistance ,lipoprotein blood level ,male ,obesity ,protein protein interaction ,sex difference ,waist hip ratio ,Multidisciplinary Sciences ,genetics [Transcription, Genetic] ,genetics [Polymorphism, Single Nucleotide] ,ADIPOGen Consortium ,genetics [Neovascularization, Physiologic] ,Transcription ,SUSCEPTIBILITY LOCI ,General Science & Technology ,ICBP ,030209 endocrinology & metabolism ,Biology ,adipocyte ,MESH : Adipocytes/metabolism Adipogenesis/genetics Adipose Tissue/metabolism* Age Factors Body Fat Distribution* Body Mass Index Continental Population Groups/genetics Epigenesis, Genetic Europe/ethnology Female Genome, Human/genetics Genome-Wide Association Study* Humans Insulin/metabolism* Insulin Resistance/genetics Male Models, Biological Neovascularization, Physiologic/genetics Obesity/genetics Polymorphism, Single Nucleotide/genetics Quantitative Trait Loci/genetics* Sex Characteristics Transcription, Genetic/genetics Waist-Hip Ratio ,MESENCHYMAL STEM-CELLS ,GENIE Consortium ,SEXUAL-DIMORPHISM ,Insulin resistance ,Internal medicine ,medicine ,genetics [Genome, Human] ,ABDOMINAL ADIPOSITY ,Neovascularization ,030304 developmental biology ,FALSE DISCOVERY ,CKDGen Consortium ,Sex Characteristic ,MuTHER Consortium ,numerical model - Abstract
Body fat distribution is a heritable trait and a well-established predictor of adverse metabolic outcomes, independent of overall adiposity. To increase our understanding of the genetic basis of body fat distribution and its molecular links to cardiometabolic traits, here we conduct genome-wide association meta-analyses of traits related to waist and hip circumferences in up to 224,459 individuals. We identify 49 loci (33 new) associated with waist-to-hip ratio adjusted for body mass index (BMI), and an additional 19 loci newly associated with related waist and hip circumference measures (P
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- 2015
14. X-chromosome and kidney function: evidence from a multi-trait genetic analysis of 908,697 individuals reveals sex-specific and sex-differential findings in genes regulated by androgen response elements.
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Scholz M, Horn K, Pott J, Wuttke M, Kühnapfel A, Nasr MK, Kirsten H, Li Y, Hoppmann A, Gorski M, Ghasemi S, Li M, Tin A, Chai JF, Cocca M, Wang J, Nutile T, Akiyama M, Åsvold BO, Bansal N, Biggs ML, Boutin T, Brenner H, Brumpton B, Burkhardt R, Cai J, Campbell A, Campbell H, Chalmers J, Chasman DI, Chee ML, Chee ML, Chen X, Cheng CY, Cifkova R, Daviglus M, Delgado G, Dittrich K, Edwards TL, Endlich K, Michael Gaziano J, Giri A, Giulianini F, Gordon SD, Gudbjartsson DF, Hallan S, Hamet P, Hartman CA, Hayward C, Heid IM, Hellwege JN, Holleczek B, Holm H, Hutri-Kähönen N, Hveem K, Isermann B, Jonas JB, Joshi PK, Kamatani Y, Kanai M, Kastarinen M, Khor CC, Kiess W, Kleber ME, Körner A, Kovacs P, Krajcoviechova A, Kramer H, Krämer BK, Kuokkanen M, Kähönen M, Lange LA, Lash JP, Lehtimäki T, Li H, Lin BM, Liu J, Loeffler M, Lyytikäinen LP, Magnusson PKE, Martin NG, Matsuda K, Milaneschi Y, Mishra PP, Mononen N, Montgomery GW, Mook-Kanamori DO, Mychaleckyj JC, März W, Nauck M, Nikus K, Nolte IM, Noordam R, Okada Y, Olafsson I, Oldehinkel AJ, Penninx BWJH, Perola M, Pirastu N, Polasek O, Porteous DJ, Poulain T, Psaty BM, Rabelink TJ, Raffield LM, Raitakari OT, Rasheed H, Reilly DF, Rice KM, Richmond A, Ridker PM, Rotter JI, Rudan I, Sabanayagam C, Salomaa V, Schneiderman N, Schöttker B, Sims M, Snieder H, Stark KJ, Stefansson K, Stocker H, Stumvoll M, Sulem P, Sveinbjornsson G, Svensson PO, Tai ES, Taylor KD, Tayo BO, Teren A, Tham YC, Thiery J, Thio CHL, Thomas LF, Tremblay J, Tönjes A, van der Most PJ, Vitart V, Völker U, Wang YX, Wang C, Wei WB, Whitfield JB, Wild SH, Wilson JF, Winkler TW, Wong TY, Woodward M, Sim X, Chu AY, Feitosa MF, Thorsteinsdottir U, Hung AM, Teumer A, Franceschini N, Parsa A, Köttgen A, Schlosser P, and Pattaro C
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- Humans, Male, Female, Kidney, Chromosomes, Human, X genetics, Response Elements, Polymorphism, Single Nucleotide, Genetic Predisposition to Disease, Tetraspanins genetics, Androgens genetics, Genome-Wide Association Study
- Abstract
X-chromosomal genetic variants are understudied but can yield valuable insights into sexually dimorphic human traits and diseases. We performed a sex-stratified cross-ancestry X-chromosome-wide association meta-analysis of seven kidney-related traits (n = 908,697), identifying 23 loci genome-wide significantly associated with two of the traits: 7 for uric acid and 16 for estimated glomerular filtration rate (eGFR), including four novel eGFR loci containing the functionally plausible prioritized genes ACSL4, CLDN2, TSPAN6 and the female-specific DRP2. Further, we identified five novel sex-interactions, comprising male-specific effects at FAM9B and AR/EDA2R, and three sex-differential findings with larger genetic effect sizes in males at DCAF12L1 and MST4 and larger effect sizes in females at HPRT1. All prioritized genes in loci showing significant sex-interactions were located next to androgen response elements (ARE). Five ARE genes showed sex-differential expressions. This study contributes new insights into sex-dimorphisms of kidney traits along with new prioritized gene targets for further molecular research., (© 2024. The Author(s).)
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- 2024
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15. Gene-educational attainment interactions in a multi-population genome-wide meta-analysis identify novel lipid loci.
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de Las Fuentes L, Schwander KL, Brown MR, Bentley AR, Winkler TW, Sung YJ, Munroe PB, Miller CL, Aschard H, Aslibekyan S, Bartz TM, Bielak LF, Chai JF, Cheng CY, Dorajoo R, Feitosa MF, Guo X, Hartwig FP, Horimoto A, Kolčić I, Lim E, Liu Y, Manning AK, Marten J, Musani SK, Noordam R, Padmanabhan S, Rankinen T, Richard MA, Ridker PM, Smith AV, Vojinovic D, Zonderman AB, Alver M, Boissel M, Christensen K, Freedman BI, Gao C, Giulianini F, Harris SE, He M, Hsu FC, Kühnel B, Laguzzi F, Li X, Lyytikäinen LP, Nolte IM, Poveda A, Rauramaa R, Riaz M, Robino A, Sofer T, Takeuchi F, Tayo BO, van der Most PJ, Verweij N, Ware EB, Weiss S, Wen W, Yanek LR, Zhan Y, Amin N, Arking DE, Ballantyne C, Boerwinkle E, Brody JA, Broeckel U, Campbell A, Canouil M, Chai X, Chen YI, Chen X, Chitrala KN, Concas MP, de Faire U, de Mutsert R, de Silva HJ, de Vries PS, Do A, Faul JD, Fisher V, Floyd JS, Forrester T, Friedlander Y, Girotto G, Gu CC, Hallmans G, Heikkinen S, Heng CK, Homuth G, Hunt S, Ikram MA, Jacobs DR Jr, Kavousi M, Khor CC, Kilpeläinen TO, Koh WP, Komulainen P, Langefeld CD, Liang J, Liu K, Liu J, Lohman K, Mägi R, Manichaikul AW, McKenzie CA, Meitinger T, Milaneschi Y, Nauck M, Nelson CP, O'Connell JR, Palmer ND, Pereira AC, Perls T, Peters A, Polašek O, Raitakari OT, Rice K, Rice TK, Rich SS, Sabanayagam C, Schreiner PJ, Shu XO, Sidney S, Sims M, Smith JA, Starr JM, Strauch K, Tai ES, Taylor KD, Tsai MY, Uitterlinden AG, van Heemst D, Waldenberger M, Wang YX, Wei WB, Wilson G, Xuan D, Yao J, Yu C, Yuan JM, Zhao W, Becker DM, Bonnefond A, Bowden DW, Cooper RS, Deary IJ, Divers J, Esko T, Franks PW, Froguel P, Gieger C, Jonas JB, Kato N, Lakka TA, Leander K, Lehtimäki T, Magnusson PKE, North KE, Ntalla I, Penninx B, Samani NJ, Snieder H, Spedicati B, van der Harst P, Völzke H, Wagenknecht LE, Weir DR, Wojczynski MK, Wu T, Zheng W, Zhu X, Bouchard C, Chasman DI, Evans MK, Fox ER, Gudnason V, Hayward C, Horta BL, Kardia SLR, Krieger JE, Mook-Kanamori DO, Peyser PA, Province MM, Psaty BM, Rudan I, Sim X, Smith BH, van Dam RM, van Duijn CM, Wong TY, Arnett DK, Rao DC, Gauderman J, Liu CT, Morrison AC, Rotter JI, and Fornage M
- Abstract
Introduction: Educational attainment, widely used in epidemiologic studies as a surrogate for socioeconomic status, is a predictor of cardiovascular health outcomes. Methods: A two-stage genome-wide meta-analysis of low-density lipoprotein cholesterol (LDL), high-density lipoprotein cholesterol (HDL), and triglyceride (TG) levels was performed while accounting for gene-educational attainment interactions in up to 226,315 individuals from five population groups. We considered two educational attainment variables: "Some College" (yes/no, for any education beyond high school) and "Graduated College" (yes/no, for completing a 4-year college degree). Genome-wide significant ( p < 5 × 10
-8 ) and suggestive ( p < 1 × 10-6 ) variants were identified in Stage 1 (in up to 108,784 individuals) through genome-wide analysis, and those variants were followed up in Stage 2 studies (in up to 117,531 individuals). Results: In combined analysis of Stages 1 and 2, we identified 18 novel lipid loci (nine for LDL, seven for HDL, and two for TG) by two degree-of-freedom (2 DF) joint tests of main and interaction effects. Four loci showed significant interaction with educational attainment. Two loci were significant only in cross-population analyses. Several loci include genes with known or suggested roles in adipose ( FOXP1, MBOAT4, SKP2, STIM1, STX4 ), brain ( BRI3, FILIP1, FOXP1, LINC00290, LMTK2, MBOAT4, MYO6, SENP6, SRGAP3, STIM1, TMEM167A, TMEM30A ), and liver ( BRI3, FOXP1 ) biology, highlighting the potential importance of brain-adipose-liver communication in the regulation of lipid metabolism. An investigation of the potential druggability of genes in identified loci resulted in five gene targets shown to interact with drugs approved by the Food and Drug Administration, including genes with roles in adipose and brain tissue. Discussion: Genome-wide interaction analysis of educational attainment identified novel lipid loci not previously detected by analyses limited to main genetic effects., Competing Interests: IN is now employed by Celgene. BMP serves on the Steering Committee of the Yale Open Data Access Project funded by Johnson & Johnson. SA is employed by and holds equity in 23andMe, Inc. Authors BK, MW, and CGa were employed by Helmholtz Zentrum München. The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2023 de las Fuentes, Schwander, Brown, Bentley, Winkler, Sung, Munroe, Miller, Aschard, Aslibekyan, Bartz, Bielak, Chai, Cheng, Dorajoo, Feitosa, Guo, Hartwig, Horimoto, Kolčić, Lim, Liu, Manning, Marten, Musani, Noordam, Padmanabhan, Rankinen, Richard, Ridker, Smith, Vojinovic, Zonderman, Alver, Boissel, Christensen, Freedman, Gao, Giulianini, Harris, He, Hsu, Kühnel, Laguzzi, Li, Lyytikäinen, Nolte, Poveda, Rauramaa, Riaz, Robino, Sofer, Takeuchi, Tayo, van der Most, Verweij, Ware, Weiss, Wen, Yanek, Zhan, Amin, Arking, Ballantyne, Boerwinkle, Brody, Broeckel, Campbell, Canouil, Chai, Ida Chen, Chen, Chitrala, Concas, de Faire, de Mutsert, de Silva, de Vries, Do, Faul, Fisher, Floyd, Forrester, Friedlander, Girotto, Gu, Hallmans, Heikkinen, Heng, Homuth, Hunt, Ikram, Jacobs, Kavousi, Khor, Kilpeläinen, Koh, Komulainen, Langefeld, Liang, Liu, Liu, Lohman, Mägi, Manichaikul, McKenzie, Meitinger, Milaneschi, Nauck, Nelson, O’Connell, Palmer, Pereira, Perls, Peters, Polašek, Raitakari, Rice, Rice, Rich, Sabanayagam, Schreiner, Shu, Sidney, Sims, Smith, Starr, Strauch, Tai, Taylor, Tsai, Uitterlinden, van Heemst, Waldenberger, Wang, Wei, Wilson, Xuan, Yao, Yu, Yuan, Zhao, Becker, Bonnefond, Bowden, Cooper, Deary, Divers, Esko, Franks, Froguel, Gieger, Jonas, Kato, Lakka, Leander, Lehtimäki, Magnusson, North, Ntalla, Penninx, Samani, Snieder, Spedicati, van der Harst, Völzke, Wagenknecht, Weir, Wojczynski, Wu, Zheng, Zhu, Bouchard, Chasman, Evans, Fox, Gudnason, Hayward, Horta, Kardia, Krieger, Mook-Kanamori, Peyser, Province, Psaty, Rudan, Sim, Smith, van Dam, van Duijn, Wong, Arnett, Rao, Gauderman, Liu, Morrison, Rotter and Fornage.)- Published
- 2023
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16. The effect of mobile health technology on blood pressure control among patients with hypertension in Ghana and Nigeria.
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Dele-Ojo BF, Oseni TIA, Duodu F, Echieh CP, Blankson PK, Alabi BS, Sarpong DF, Tayo BO, Boima V, Coleman MA, and Ogedegbe G
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Background: More than half of patients with hypertension in sub-Saharan African do not achieve blood pressure control. This study determined the effect of mobile health technology on systolic blood pressure reduction and blood pressure (BP) control among patients with hypertension in Nigeria and Ghana., Methods: A randomised control trial of 225 adults with hypertension attending two General/Medical Outpatient Clinics each in Nigeria and Ghana was randomized into intervention (n = 116) and control (n = 109) arm respectively. Patients in the intervention arm received messages twice weekly from a mobile app for six months in addition to the usual care while the control arm received usual care only. The study outcomes were systolic blood pressure (SBP) reduction and blood pressure control at six months, while the secondary outcome was medication adherence at six months. Data were collected at 0 and 6 months, it was analysed using SPSS-21 software at a significance level of p < 0.05. Binary logistic regression was used to generate the predictors of good blood pressure control., Results: The mean age for the control and intervention were 60.2 ± 13.5 and 62.6 ± 10.8 years respectively; p-value = 0.300. The intervention group had greater reductions in SBP (-18.7mmHg vs -3.9mmHg; p < 0.001) and greater BP control rate (44.3% vs 24.8%; p-value 0.002)., Conclusions: The mobile health intervention resulted in significant SBP reduction rate and improvement in BP control rate in the 6th month. However, improvement in adherence level in the 3rd month and was not sustained in the 6th month. The addition of mobile health technology may be extended for use in the national hypertension control plan. Female gender, formal education and being in the intervention arm were predictors of blood pressure control.
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- 2023
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17. Adsorption of DNA nucleobases on single-layer Ti 3 C 2 MXene and graphene: vdW-corrected DFT and NEGF studies.
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Tayo BO, Walkup MA, and Caliskan S
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We investigated the interaction of DNA nucleobases [adenine (A), guanine (G), thymine (T), and cytosine (C)] with single-layer Ti
3 C2 MXene using Van der Waals (vdW)-corrected density functional theory and non-equilibrium Green's function methods. All calculations were benchmarked against graphene. We showed that depending on the initial vertical height of a nucleobase above the Ti3 C2 surface, two interaction mechanisms are possible, namely, physisorption and chemisorption. For graphene, DNA nucleobases always physisorbed onto the graphene surface irrespective of the initial vertical height of the nucleobase above the graphene sheet. The PBE+vdW binding energies for graphene are high (0.55-0.74 eV) and follow the order G > A > T > C, with adsorption heights in the range of 3.16-3.22 Å, indicating strong physisorption. For Ti3 C2 , the PBE+vdW binding energies are relatively weaker (0.16-0.20 eV) and follow the order A > G = T > C, with adsorption heights in the range of 5.51-5.60 Å, indicating weak physisorption. The binding energies for chemisorption follow the order G > A > T > C, which is the same order for physisorption. The binding energy values (5.3-7.5 eV) indicate very strong chemisorption (∼40 times larger than the physisorption binding energies). Furthermore, our band structure and electronic transport analysis showed that for physisorption, there is neither significant variation in the band structure nor modulation in the transmission function and device density of states. The relatively weak physisorption and strong chemisorption show that Ti3 C2 might not be capable of identifying DNA nucleobases using the physisorption method., Competing Interests: The authors have no conflicts to disclose., (© 2023 Author(s).)- Published
- 2023
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18. Medication adherence and blood pressure control: A preliminary assessment of the role of health insurance in Nigeria and Ghana.
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Oseni TIA, Blankson PK, Dele-Ojo BF, Duodu F, Echieh CP, Alabi SB, Tayo BO, Sarpong DF, Amoakoh-Coleman M, Boima V, and Ogedegbe G
- Abstract
Objectives: This study sought to assess the current impact of health insurance coverage on medication adherence and blood pressure control of patients being managed for hypertension in Ghana and Nigeria., Methods: The study was a prospective study among 109 patients with hypertension in two health facilities with similar population dynamics in Ghana and Nigeria. Patients were systematically selected, categorized as having health insurance coverage or not, and followed up monthly for 6 months. The outcome variables (medication adherence and blood pressure control) were then measured and compared at 6 months. Analysis was done using Stata with level of significance set at p ⩽ 0.05., Results: There was a 90% insurance coverage among participants from Ghana compared to 15% from Nigeria. National Health Insurance Authority enrolees in both countries had better blood pressure control and medication adherence compared to non-enrolees (adjusted odds ratio = 2.6 and 4.5, respectively)., Conclusion: National Health Insurance Authority enrolment was found to be poor among respondents in Nigeria compared to Ghana. Enrolment into the National health financing schemes in both countries led to better blood pressure control and medication adherence among patients with hypertension at primary health facilities. There is therefore the need for system strengthening to improve their sustainability., Competing Interests: The author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article., (© The Author(s) 2023.)
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- 2023
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19. A saturated map of common genetic variants associated with human height.
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Yengo L, Vedantam S, Marouli E, Sidorenko J, Bartell E, Sakaue S, Graff M, Eliasen AU, Jiang Y, Raghavan S, Miao J, Arias JD, Graham SE, Mukamel RE, Spracklen CN, Yin X, Chen SH, Ferreira T, Highland HH, Ji Y, Karaderi T, Lin K, Lüll K, Malden DE, Medina-Gomez C, Machado M, Moore A, Rüeger S, Sim X, Vrieze S, Ahluwalia TS, Akiyama M, Allison MA, Alvarez M, Andersen MK, Ani A, Appadurai V, Arbeeva L, Bhaskar S, Bielak LF, Bollepalli S, Bonnycastle LL, Bork-Jensen J, Bradfield JP, Bradford Y, Braund PS, Brody JA, Burgdorf KS, Cade BE, Cai H, Cai Q, Campbell A, Cañadas-Garre M, Catamo E, Chai JF, Chai X, Chang LC, Chang YC, Chen CH, Chesi A, Choi SH, Chung RH, Cocca M, Concas MP, Couture C, Cuellar-Partida G, Danning R, Daw EW, Degenhard F, Delgado GE, Delitala A, Demirkan A, Deng X, Devineni P, Dietl A, Dimitriou M, Dimitrov L, Dorajoo R, Ekici AB, Engmann JE, Fairhurst-Hunter Z, Farmaki AE, Faul JD, Fernandez-Lopez JC, Forer L, Francescatto M, Freitag-Wolf S, Fuchsberger C, Galesloot TE, Gao Y, Gao Z, Geller F, Giannakopoulou O, Giulianini F, Gjesing AP, Goel A, Gordon SD, Gorski M, Grove J, Guo X, Gustafsson S, Haessler J, Hansen TF, Havulinna AS, Haworth SJ, He J, Heard-Costa N, Hebbar P, Hindy G, Ho YA, Hofer E, Holliday E, Horn K, Hornsby WE, Hottenga JJ, Huang H, Huang J, Huerta-Chagoya A, Huffman JE, Hung YJ, Huo S, Hwang MY, Iha H, Ikeda DD, Isono M, Jackson AU, Jäger S, Jansen IE, Johansson I, Jonas JB, Jonsson A, Jørgensen T, Kalafati IP, Kanai M, Kanoni S, Kårhus LL, Kasturiratne A, Katsuya T, Kawaguchi T, Kember RL, Kentistou KA, Kim HN, Kim YJ, Kleber ME, Knol MJ, Kurbasic A, Lauzon M, Le P, Lea R, Lee JY, Leonard HL, Li SA, Li X, Li X, Liang J, Lin H, Lin SY, Liu J, Liu X, Lo KS, Long J, Lores-Motta L, Luan J, Lyssenko V, Lyytikäinen LP, Mahajan A, Mamakou V, Mangino M, Manichaikul A, Marten J, Mattheisen M, Mavarani L, McDaid AF, Meidtner K, Melendez TL, Mercader JM, Milaneschi Y, Miller JE, Millwood IY, Mishra PP, Mitchell RE, Møllehave LT, Morgan A, Mucha S, Munz M, Nakatochi M, Nelson CP, Nethander M, Nho CW, Nielsen AA, Nolte IM, Nongmaithem SS, Noordam R, Ntalla I, Nutile T, Pandit A, Christofidou P, Pärna K, Pauper M, Petersen ERB, Petersen LV, Pitkänen N, Polašek O, Poveda A, Preuss MH, Pyarajan S, Raffield LM, Rakugi H, Ramirez J, Rasheed A, Raven D, Rayner NW, Riveros C, Rohde R, Ruggiero D, Ruotsalainen SE, Ryan KA, Sabater-Lleal M, Saxena R, Scholz M, Sendamarai A, Shen B, Shi J, Shin JH, Sidore C, Sitlani CM, Slieker RC, Smit RAJ, Smith AV, Smith JA, Smyth LJ, Southam L, Steinthorsdottir V, Sun L, Takeuchi F, Tallapragada DSP, Taylor KD, Tayo BO, Tcheandjieu C, Terzikhan N, Tesolin P, Teumer A, Theusch E, Thompson DJ, Thorleifsson G, Timmers PRHJ, Trompet S, Turman C, Vaccargiu S, van der Laan SW, van der Most PJ, van Klinken JB, van Setten J, Verma SS, Verweij N, Veturi Y, Wang CA, Wang C, Wang L, Wang Z, Warren HR, Bin Wei W, Wickremasinghe AR, Wielscher M, Wiggins KL, Winsvold BS, Wong A, Wu Y, Wuttke M, Xia R, Xie T, Yamamoto K, Yang J, Yao J, Young H, Yousri NA, Yu L, Zeng L, Zhang W, Zhang X, Zhao JH, Zhao W, Zhou W, Zimmermann ME, Zoledziewska M, Adair LS, Adams HHH, Aguilar-Salinas CA, Al-Mulla F, Arnett DK, Asselbergs FW, Åsvold BO, Attia J, Banas B, Bandinelli S, Bennett DA, Bergler T, Bharadwaj D, Biino G, Bisgaard H, Boerwinkle E, Böger CA, Bønnelykke K, Boomsma DI, Børglum AD, Borja JB, Bouchard C, Bowden DW, Brandslund I, Brumpton B, Buring JE, Caulfield MJ, Chambers JC, Chandak GR, Chanock SJ, Chaturvedi N, Chen YI, Chen Z, Cheng CY, Christophersen IE, Ciullo M, Cole JW, Collins FS, Cooper RS, Cruz M, Cucca F, Cupples LA, Cutler MJ, Damrauer SM, Dantoft TM, de Borst GJ, de Groot LCPGM, De Jager PL, de Kleijn DPV, Janaka de Silva H, Dedoussis GV, den Hollander AI, Du S, Easton DF, Elders PJM, Eliassen AH, Ellinor PT, Elmståhl S, Erdmann J, Evans MK, Fatkin D, Feenstra B, Feitosa MF, Ferrucci L, Ford I, Fornage M, Franke A, Franks PW, Freedman BI, Gasparini P, Gieger C, Girotto G, Goddard ME, Golightly YM, Gonzalez-Villalpando C, Gordon-Larsen P, Grallert H, Grant SFA, Grarup N, Griffiths L, Gudnason V, Haiman C, Hakonarson H, Hansen T, Hartman CA, Hattersley AT, Hayward C, Heckbert SR, Heng CK, Hengstenberg C, Hewitt AW, Hishigaki H, Hoyng CB, Huang PL, Huang W, Hunt SC, Hveem K, Hyppönen E, Iacono WG, Ichihara S, Ikram MA, Isasi CR, Jackson RD, Jarvelin MR, Jin ZB, Jöckel KH, Joshi PK, Jousilahti P, Jukema JW, Kähönen M, Kamatani Y, Kang KD, Kaprio J, Kardia SLR, Karpe F, Kato N, Kee F, Kessler T, Khera AV, Khor CC, Kiemeney LALM, Kim BJ, Kim EK, Kim HL, Kirchhof P, Kivimaki M, Koh WP, Koistinen HA, Kolovou GD, Kooner JS, Kooperberg C, Köttgen A, Kovacs P, Kraaijeveld A, Kraft P, Krauss RM, Kumari M, Kutalik Z, Laakso M, Lange LA, Langenberg C, Launer LJ, Le Marchand L, Lee H, Lee NR, Lehtimäki T, Li H, Li L, Lieb W, Lin X, Lind L, Linneberg A, Liu CT, Liu J, Loeffler M, London B, Lubitz SA, Lye SJ, Mackey DA, Mägi R, Magnusson PKE, Marcus GM, Vidal PM, Martin NG, März W, Matsuda F, McGarrah RW, McGue M, McKnight AJ, Medland SE, Mellström D, Metspalu A, Mitchell BD, Mitchell P, Mook-Kanamori DO, Morris AD, Mucci LA, Munroe PB, Nalls MA, Nazarian S, Nelson AE, Neville MJ, Newton-Cheh C, Nielsen CS, Nöthen MM, Ohlsson C, Oldehinkel AJ, Orozco L, Pahkala K, Pajukanta P, Palmer CNA, Parra EJ, Pattaro C, Pedersen O, Pennell CE, Penninx BWJH, Perusse L, Peters A, Peyser PA, Porteous DJ, Posthuma D, Power C, Pramstaller PP, Province MA, Qi Q, Qu J, Rader DJ, Raitakari OT, Ralhan S, Rallidis LS, Rao DC, Redline S, Reilly DF, Reiner AP, Rhee SY, Ridker PM, Rienstra M, Ripatti S, Ritchie MD, Roden DM, Rosendaal FR, Rotter JI, Rudan I, Rutters F, Sabanayagam C, Saleheen D, Salomaa V, Samani NJ, Sanghera DK, Sattar N, Schmidt B, Schmidt H, Schmidt R, Schulze MB, Schunkert H, Scott LJ, Scott RJ, Sever P, Shiroma EJ, Shoemaker MB, Shu XO, Simonsick EM, Sims M, Singh JR, Singleton AB, Sinner MF, Smith JG, Snieder H, Spector TD, Stampfer MJ, Stark KJ, Strachan DP, 't Hart LM, Tabara Y, Tang H, Tardif JC, Thanaraj TA, Timpson NJ, Tönjes A, Tremblay A, Tuomi T, Tuomilehto J, Tusié-Luna MT, Uitterlinden AG, van Dam RM, van der Harst P, Van der Velde N, van Duijn CM, van Schoor NM, Vitart V, Völker U, Vollenweider P, Völzke H, Wacher-Rodarte NH, Walker M, Wang YX, Wareham NJ, Watanabe RM, Watkins H, Weir DR, Werge TM, Widen E, Wilkens LR, Willemsen G, Willett WC, Wilson JF, Wong TY, Woo JT, Wright AF, Wu JY, Xu H, Yajnik CS, Yokota M, Yuan JM, Zeggini E, Zemel BS, Zheng W, Zhu X, Zmuda JM, Zonderman AB, Zwart JA, Chasman DI, Cho YS, Heid IM, McCarthy MI, Ng MCY, O'Donnell CJ, Rivadeneira F, Thorsteinsdottir U, Sun YV, Tai ES, Boehnke M, Deloukas P, Justice AE, Lindgren CM, Loos RJF, Mohlke KL, North KE, Stefansson K, Walters RG, Winkler TW, Young KL, Loh PR, Yang J, Esko T, Assimes TL, Auton A, Abecasis GR, Willer CJ, Locke AE, Berndt SI, Lettre G, Frayling TM, Okada Y, Wood AR, Visscher PM, and Hirschhorn JN
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- Humans, Gene Frequency genetics, Genome, Human genetics, Genome-Wide Association Study, Haplotypes genetics, Linkage Disequilibrium genetics, Europe ethnology, Sample Size, Phenotype, Body Height genetics, Polymorphism, Single Nucleotide genetics, Chromosome Mapping
- Abstract
Common single-nucleotide polymorphisms (SNPs) are predicted to collectively explain 40-50% of phenotypic variation in human height, but identifying the specific variants and associated regions requires huge sample sizes
1 . Here, using data from a genome-wide association study of 5.4 million individuals of diverse ancestries, we show that 12,111 independent SNPs that are significantly associated with height account for nearly all of the common SNP-based heritability. These SNPs are clustered within 7,209 non-overlapping genomic segments with a mean size of around 90 kb, covering about 21% of the genome. The density of independent associations varies across the genome and the regions of increased density are enriched for biologically relevant genes. In out-of-sample estimation and prediction, the 12,111 SNPs (or all SNPs in the HapMap 3 panel2 ) account for 40% (45%) of phenotypic variance in populations of European ancestry but only around 10-20% (14-24%) in populations of other ancestries. Effect sizes, associated regions and gene prioritization are similar across ancestries, indicating that reduced prediction accuracy is likely to be explained by linkage disequilibrium and differences in allele frequency within associated regions. Finally, we show that the relevant biological pathways are detectable with smaller sample sizes than are needed to implicate causal genes and variants. Overall, this study provides a comprehensive map of specific genomic regions that contain the vast majority of common height-associated variants. Although this map is saturated for populations of European ancestry, further research is needed to achieve equivalent saturation in other ancestries., (© 2022. The Author(s).)- Published
- 2022
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20. Genetic loci and prioritization of genes for kidney function decline derived from a meta-analysis of 62 longitudinal genome-wide association studies.
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Gorski M, Rasheed H, Teumer A, Thomas LF, Graham SE, Sveinbjornsson G, Winkler TW, Günther F, Stark KJ, Chai JF, Tayo BO, Wuttke M, Li Y, Tin A, Ahluwalia TS, Ärnlöv J, Åsvold BO, Bakker SJL, Banas B, Bansal N, Biggs ML, Biino G, Böhnke M, Boerwinkle E, Bottinger EP, Brenner H, Brumpton B, Carroll RJ, Chaker L, Chalmers J, Chee ML, Chee ML, Cheng CY, Chu AY, Ciullo M, Cocca M, Cook JP, Coresh J, Cusi D, de Borst MH, Degenhardt F, Eckardt KU, Endlich K, Evans MK, Feitosa MF, Franke A, Freitag-Wolf S, Fuchsberger C, Gampawar P, Gansevoort RT, Ghanbari M, Ghasemi S, Giedraitis V, Gieger C, Gudbjartsson DF, Hallan S, Hamet P, Hishida A, Ho K, Hofer E, Holleczek B, Holm H, Hoppmann A, Horn K, Hutri-Kähönen N, Hveem K, Hwang SJ, Ikram MA, Josyula NS, Jung B, Kähönen M, Karabegović I, Khor CC, Koenig W, Kramer H, Krämer BK, Kühnel B, Kuusisto J, Laakso M, Lange LA, Lehtimäki T, Li M, Lieb W, Lind L, Lindgren CM, Loos RJF, Lukas MA, Lyytikäinen LP, Mahajan A, Matias-Garcia PR, Meisinger C, Meitinger T, Melander O, Milaneschi Y, Mishra PP, Mononen N, Morris AP, Mychaleckyj JC, Nadkarni GN, Naito M, Nakatochi M, Nalls MA, Nauck M, Nikus K, Ning B, Nolte IM, Nutile T, O'Donoghue ML, O'Connell J, Olafsson I, Orho-Melander M, Parsa A, Pendergrass SA, Penninx BWJH, Pirastu M, Preuss MH, Psaty BM, Raffield LM, Raitakari OT, Rheinberger M, Rice KM, Rizzi F, Rosenkranz AR, Rossing P, Rotter JI, Ruggiero D, Ryan KA, Sabanayagam C, Salvi E, Schmidt H, Schmidt R, Scholz M, Schöttker B, Schulz CA, Sedaghat S, Shaffer CM, Sieber KB, Sim X, Sims M, Snieder H, Stanzick KJ, Thorsteinsdottir U, Stocker H, Strauch K, Stringham HM, Sulem P, Szymczak S, Taylor KD, Thio CHL, Tremblay J, Vaccargiu S, van der Harst P, van der Most PJ, Verweij N, Völker U, Wakai K, Waldenberger M, Wallentin L, Wallner S, Wang J, Waterworth DM, White HD, Willer CJ, Wong TY, Woodward M, Yang Q, Yerges-Armstrong LM, Zimmermann M, Zonderman AB, Bergler T, Stefansson K, Böger CA, Pattaro C, Köttgen A, Kronenberg F, and Heid IM
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- Cross-Sectional Studies, Genetic Loci, Genome-Wide Association Study, Glomerular Filtration Rate genetics, Humans, Kidney, Longitudinal Studies, N-Acetylgalactosaminyltransferases genetics, Renal Insufficiency genetics, Renal Insufficiency, Chronic
- Abstract
Estimated glomerular filtration rate (eGFR) reflects kidney function. Progressive eGFR-decline can lead to kidney failure, necessitating dialysis or transplantation. Hundreds of loci from genome-wide association studies (GWAS) for eGFR help explain population cross section variability. Since the contribution of these or other loci to eGFR-decline remains largely unknown, we derived GWAS for annual eGFR-decline and meta-analyzed 62 longitudinal studies with eGFR assessed twice over time in all 343,339 individuals and in high-risk groups. We also explored different covariate adjustment. Twelve genome-wide significant independent variants for eGFR-decline unadjusted or adjusted for eGFR-baseline (11 novel, one known for this phenotype), including nine variants robustly associated across models were identified. All loci for eGFR-decline were known for cross-sectional eGFR and thus distinguished a subgroup of eGFR loci. Seven of the nine variants showed variant-by-age interaction on eGFR cross section (further about 350,000 individuals), which linked genetic associations for eGFR-decline with age-dependency of genetic cross-section associations. Clinically important were two to four-fold greater genetic effects on eGFR-decline in high-risk subgroups. Five variants associated also with chronic kidney disease progression mapped to genes with functional in-silico evidence (UMOD, SPATA7, GALNTL5, TPPP). An unfavorable versus favorable nine-variant genetic profile showed increased risk odds ratios of 1.35 for kidney failure (95% confidence intervals 1.03-1.77) and 1.27 for acute kidney injury (95% confidence intervals 1.08-1.50) in over 2000 cases each, with matched controls). Thus, we provide a large data resource, genetic loci, and prioritized genes for kidney function decline, which help inform drug development pipelines revealing important insights into the age-dependency of kidney function genetics., (Copyright © 2022 International Society of Nephrology. Published by Elsevier Inc. All rights reserved.)
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- 2022
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21. Comparative Analysis of Left Ventricular Geometry in Adult Nigerians with and without Chronic Kidney Disease: Results from Ibadan CRECKID STUDY.
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Adeoye AM, Osibowale BT, Adebayo O, Adeyanju AT, Tayo BO, Fakunle GA, and Ojo AO
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- Adult, Echocardiography adverse effects, Echocardiography methods, Female, Glomerular Filtration Rate, Humans, Hypertrophy, Left Ventricular diagnostic imaging, Hypertrophy, Left Ventricular epidemiology, Male, Nigeria epidemiology, Hypertension complications, Renal Insufficiency, Chronic diagnostic imaging, Renal Insufficiency, Chronic epidemiology
- Abstract
Background: Chronic kidney disease (CKD) is associated with increased risk of cardiovascular morbidity and mortality. Left ventricular hypertrophy (LVH) is considered the strongest independent predictor of cardiovascular disease and events among CKD patients. We reported the echocardiographic left ventricular geometry in CKD patients compared to non-CKD hypertensive and apparently healthy controls in Ibadan., Materials and Methods: A total of 683 participants in the CRECKID STUDY comprising 220(32.2%) CKD patients, 281(41.1%) non-CKD hypertensive patients and 182(26.6%) healthy controls were included in this analysis. Basic demographic and clinical information with echocardiographic parameters were obtained., Results: Study participants in the non-CKD hypertensive group were on average older than the CKD and the healthy controls (56.2±13.1 vs 47.2±14.6, and 46.8±13.3 years, respectively; p<0.01). Compared with other groups, greater proportions of participants with CKD were men (40.5% vs.38.1% and 21.3%; p<0.0001). The left atrial and left ventricular dimensions were significantly higher in CKD compared with others. LVH was significantly more prevalent among CKD patients (68.2%) compared to hypertensive (43.9%) and normotensive (19.5%) group (p<0.01). The participants with CKD had a greater proportion of abnormal LV geometry with concentric LVH predominating (p<0.0001). Having LVH was associated with lower mean estimated glomerular filtration rate (eGFR) (40.6±37.71 vs 67±37.38, p<0.0001)., Conclusion: In our study, patients with CKD had the highest prevalence of abnormal LV geometry and functions. A unit decrease in eGFR was associated with increased left ventricular mass. Early detection and prompt management of abnormal LV geometry may help in reducing adverse cardiovascular outcome in patients with CKD., Competing Interests: The Authors declare that no competing interest exists., (Copyright © 2022 by West African Journal of Medicine.)
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- 2022
22. Factors influencing the integration of evidence-based task-strengthening strategies for hypertension control within HIV clinics in Nigeria.
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Iwelunmor J, Ezechi O, Obiezu-Umeh C, Oladele D, Nwaozuru U, Aifah A, Gyamfi J, Gbajabiamila T, Musa AZ, Onakomaiya D, Rakhra A, Jiyuan H, Odubela O, Idigbe I, Engelhart A, Tayo BO, and Ogedegbe G
- Abstract
Background: Evidence-based task-strengthening strategies for hypertension (HTN) control (TASSH) are not readily available for patients living with HIV in sub-Saharan Africa where the dual burden of HTN and HIV remains high. We are conducting a cluster randomized controlled trial comparing the effectiveness of practice facilitation versus a self-directed control (i.e., receipt of TASSH with no practice facilitation) in reducing blood pressure and increasing the adoption of task-strengthening strategies for HTN control within HIV clinics in Nigeria. Prior to implementing the trial, we conducted formative research to identify factors that may influence the integration of TASSH within HIV clinics in Nigeria., Methods: This mixed-methods study was conducted with purposively selected healthcare providers at 29 HIV clinics, followed by a 1-day stakeholder meeting with 19 representatives of HIV clinics. We collected quantitative practice assessment data using two instruments: (a) an adapted Service Availability and Readiness Assessment (SARA) tool to assess the capacity of the clinic to manage NCDs and (b) Implementation Climate Scale to assess the degree to which there is a strategic organizational climate supportive of the evidence-based practice implementation. The quantitative data were analyzed using descriptive statistics and measures of scale reliability. We also used the Consolidated Framework for Implementation Research (CFIR), to thematically analyze qualitative data generated and relevant to the aims of this study., Results: Across the 29 clinics surveyed, the focus on TASSH (mean=1.77 (SD=0.59)) and educational support (mean=1.32 (SD=0.68)) subscales demonstrated the highest mean score, with good-excellent internal consistency reliability (Cronbach's alphas ranging from 0.84 to 0.96). Within the five CFIR domains explored, the major facilitators of the intervention included relative advantage of TASSH compared to current practice, compatibility with clinic organizational structures, support of patients' needs, and intervention alignment with national guidelines. Barriers included the perceived complexity of TASSH, weak referral network and patient tracking mechanism within the clinics, and limited resources and diagnostic equipment for HTN., Conclusion: Optimizing healthcare workers' implementation of evidence-based TASSH within HIV clinics requires attention to both the implementation climate and contextual factors likely to influence adoption and long-term sustainability. These findings have implications for the development of effective practice facilitation strategies to further improve the delivery and integration of TASSH within HIV clinics in Nigeria., Trial Registration: ClinicalTrials.gov , NCT04704336., (© 2022. The Author(s).)
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- 2022
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23. Fibroblast Growth Factor 23 (FGF 23) and intact parathyroid hormone (iPTH) as markers of mineral bone disease among Nigerians with non-diabetic kidney disease.
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Raji YR, Ajayi SO, Adeoye AM, Amodu O, Tayo BO, and Salako BL
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- Adult, Aged, Biomarkers, Cross-Sectional Studies, Female, Fibroblast Growth Factor-23, Fibroblast Growth Factors, Humans, Male, Middle Aged, Minerals, Nigeria, Parathyroid Hormone, Chronic Kidney Disease-Mineral and Bone Disorder, Renal Insufficiency, Chronic
- Abstract
Background: Excess cardiovascular burden in patients with chronic kidney disease (CKD) has been attributed to the occurrence of CKD-Mineral Bone Disease (CKD - MBD). This study aimed to determine the spectrum of CKD-MBD among Nigerians with CKD using Fibroblast Growth Factor 23 (FGF 23) and intact Parathyroid Hormone (iPTH)., Methods: Cross sectional survey of 105 patients with non-diabetic CKD and 104 controls. Information obtained were demographics, aetiology of CKD, features of CKD-MBD. Serum iPTH and FGF 23 were assayed., Results: The mean ages were 48.7±15.3 vs 48.6±17.4 years while 54.7% and 45.2% were males for cases and controls, respectively. The mean plasma FGF 23 (392.8±35.3 vs 133.8±22.7 RU/mL and plasma iPTH (289±25.6 vs 118±10.8 ng/L, respectively. The frequency of elevated FGF 23 (45.7% vs 24.0%, p<0.01) and abnormal iPTH (53.3% vs 14.1%, p- 0.01) were higher in cases. The prevalence of MBD were (59.0% vs 14.4%, p<0.01) in cases and controls while dialysis status OR 2.94, 95% CI (1.2803-5.3645), and elevated FGF 23 OR, 1.87, 95% CI (1.1782-5.4291) were associated with CKD-MBD., Conclusion: The study demonstrated high prevalence of CKD-MBD among patients with non-diabetic CKD while FGF23 and iPTH were useful assays in the diagnosis of CKD-MBD among Nigerians with CKD., (© 2022 Raji YR et al.)
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- 2022
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24. Gene-educational attainment interactions in a multi-ancestry genome-wide meta-analysis identify novel blood pressure loci.
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de Las Fuentes L, Sung YJ, Noordam R, Winkler T, Feitosa MF, Schwander K, Bentley AR, Brown MR, Guo X, Manning A, Chasman DI, Aschard H, Bartz TM, Bielak LF, Campbell A, Cheng CY, Dorajoo R, Hartwig FP, Horimoto ARVR, Li C, Li-Gao R, Liu Y, Marten J, Musani SK, Ntalla I, Rankinen T, Richard M, Sim X, Smith AV, Tajuddin SM, Tayo BO, Vojinovic D, Warren HR, Xuan D, Alver M, Boissel M, Chai JF, Chen X, Christensen K, Divers J, Evangelou E, Gao C, Girotto G, Harris SE, He M, Hsu FC, Kühnel B, Laguzzi F, Li X, Lyytikäinen LP, Nolte IM, Poveda A, Rauramaa R, Riaz M, Rueedi R, Shu XO, Snieder H, Sofer T, Takeuchi F, Verweij N, Ware EB, Weiss S, Yanek LR, Amin N, Arking DE, Arnett DK, Bergmann S, Boerwinkle E, Brody JA, Broeckel U, Brumat M, Burke G, Cabrera CP, Canouil M, Chee ML, Chen YI, Cocca M, Connell J, de Silva HJ, de Vries PS, Eiriksdottir G, Faul JD, Fisher V, Forrester T, Fox EF, Friedlander Y, Gao H, Gigante B, Giulianini F, Gu CC, Gu D, Harris TB, He J, Heikkinen S, Heng CK, Hunt S, Ikram MA, Irvin MR, Kähönen M, Kavousi M, Khor CC, Kilpeläinen TO, Koh WP, Komulainen P, Kraja AT, Krieger JE, Langefeld CD, Li Y, Liang J, Liewald DCM, Liu CT, Liu J, Lohman KK, Mägi R, McKenzie CA, Meitinger T, Metspalu A, Milaneschi Y, Milani L, Mook-Kanamori DO, Nalls MA, Nelson CP, Norris JM, O'Connell J, Ogunniyi A, Padmanabhan S, Palmer ND, Pedersen NL, Perls T, Peters A, Petersmann A, Peyser PA, Polasek O, Porteous DJ, Raffel LJ, Rice TK, Rotter JI, Rudan I, Rueda-Ochoa OL, Sabanayagam C, Salako BL, Schreiner PJ, Shikany JM, Sidney SS, Sims M, Sitlani CM, Smith JA, Starr JM, Strauch K, Swertz MA, Teumer A, Tham YC, Uitterlinden AG, Vaidya D, van der Ende MY, Waldenberger M, Wang L, Wang YX, Wei WB, Weir DR, Wen W, Yao J, Yu B, Yu C, Yuan JM, Zhao W, Zonderman AB, Becker DM, Bowden DW, Deary IJ, Dörr M, Esko T, Freedman BI, Froguel P, Gasparini P, Gieger C, Jonas JB, Kammerer CM, Kato N, Lakka TA, Leander K, Lehtimäki T, Magnusson PKE, Marques-Vidal P, Penninx BWJH, Samani NJ, van der Harst P, Wagenknecht LE, Wu T, Zheng W, Zhu X, Bouchard C, Cooper RS, Correa A, Evans MK, Gudnason V, Hayward C, Horta BL, Kelly TN, Kritchevsky SB, Levy D, Palmas WR, Pereira AC, Province MM, Psaty BM, Ridker PM, Rotimi CN, Tai ES, van Dam RM, van Duijn CM, Wong TY, Rice K, Gauderman WJ, Morrison AC, North KE, Kardia SLR, Caulfield MJ, Elliott P, Munroe PB, Franks PW, Rao DC, and Fornage M
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- Blood Pressure genetics, Epistasis, Genetic, Genetic Loci, Humans, Polymorphism, Single Nucleotide, Genome-Wide Association Study, Hypertension genetics
- Abstract
Educational attainment is widely used as a surrogate for socioeconomic status (SES). Low SES is a risk factor for hypertension and high blood pressure (BP). To identify novel BP loci, we performed multi-ancestry meta-analyses accounting for gene-educational attainment interactions using two variables, "Some College" (yes/no) and "Graduated College" (yes/no). Interactions were evaluated using both a 1 degree of freedom (DF) interaction term and a 2DF joint test of genetic and interaction effects. Analyses were performed for systolic BP, diastolic BP, mean arterial pressure, and pulse pressure. We pursued genome-wide interrogation in Stage 1 studies (N = 117 438) and follow-up on promising variants in Stage 2 studies (N = 293 787) in five ancestry groups. Through combined meta-analyses of Stages 1 and 2, we identified 84 known and 18 novel BP loci at genome-wide significance level (P < 5 × 10
-8 ). Two novel loci were identified based on the 1DF test of interaction with educational attainment, while the remaining 16 loci were identified through the 2DF joint test of genetic and interaction effects. Ten novel loci were identified in individuals of African ancestry. Several novel loci show strong biological plausibility since they involve physiologic systems implicated in BP regulation. They include genes involved in the central nervous system-adrenal signaling axis (ZDHHC17, CADPS, PIK3C2G), vascular structure and function (GNB3, CDON), and renal function (HAS2 and HAS2-AS1, SLIT3). Collectively, these findings suggest a role of educational attainment or SES in further dissection of the genetic architecture of BP., (© 2020. The Author(s), under exclusive licence to Springer Nature Limited.)- Published
- 2021
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25. Engulfment and cell motility 1 (ELMO1) and apolipoprotein A1 (APOA1) as candidate genes for sickle cell nephropathy.
- Author
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Saraf SL, Zhang X, Shah BN, Raslan R, Tayo BO, Lash JP, Franceschini N, and Gordeuk VR
- Subjects
- Adult, Albuminuria genetics, Albuminuria metabolism, Animals, Female, Humans, Male, Mice, Adaptor Proteins, Signal Transducing biosynthesis, Adaptor Proteins, Signal Transducing genetics, Anemia, Sickle Cell genetics, Anemia, Sickle Cell metabolism, Apolipoprotein A-I biosynthesis, Apolipoprotein A-I genetics, Cell Movement genetics, Down-Regulation, Gene Regulatory Networks, Renal Insufficiency, Chronic genetics, Renal Insufficiency, Chronic metabolism, Up-Regulation
- Abstract
Sickle cell disease (SCD) and apolipoprotein L1 (APOL1) G1/G2 variants increase chronic kidney disease (CKD) risk in African Americans by poorly understood mechanisms. We applied bioinformatics to identify new candidate genes associated with SCD-related CKD. An interaction network demonstrated APOA1 connecting haemoglobin subunit β (HBB) and APOL1 with 36 other candidate genes. Gene expression revealed upregulation of engulfment and cell motility 1 (ELMO1) and downregulation of APOA1 in the kidney cortex of SCD versus non-SCD mice. Analysis of candidate genes identified ELMO1 rs10951509 to be associated with albuminuria and APOA1 rs11216132 with haemoglobinuria in patients with SCD. A bioinformatic approach highlights ELMO1 and APOA1 as potentially associated with SCD nephropathy., (© 2020 British Society for Haematology and John Wiley & Sons Ltd.)
- Published
- 2021
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26. Meta-analysis uncovers genome-wide significant variants for rapid kidney function decline.
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Gorski M, Jung B, Li Y, Matias-Garcia PR, Wuttke M, Coassin S, Thio CHL, Kleber ME, Winkler TW, Wanner V, Chai JF, Chu AY, Cocca M, Feitosa MF, Ghasemi S, Hoppmann A, Horn K, Li M, Nutile T, Scholz M, Sieber KB, Teumer A, Tin A, Wang J, Tayo BO, Ahluwalia TS, Almgren P, Bakker SJL, Banas B, Bansal N, Biggs ML, Boerwinkle E, Bottinger EP, Brenner H, Carroll RJ, Chalmers J, Chee ML, Chee ML, Cheng CY, Coresh J, de Borst MH, Degenhardt F, Eckardt KU, Endlich K, Franke A, Freitag-Wolf S, Gampawar P, Gansevoort RT, Ghanbari M, Gieger C, Hamet P, Ho K, Hofer E, Holleczek B, Xian Foo VH, Hutri-Kähönen N, Hwang SJ, Ikram MA, Josyula NS, Kähönen M, Khor CC, Koenig W, Kramer H, Krämer BK, Kühnel B, Lange LA, Lehtimäki T, Lieb W, Loos RJF, Lukas MA, Lyytikäinen LP, Meisinger C, Meitinger T, Melander O, Milaneschi Y, Mishra PP, Mononen N, Mychaleckyj JC, Nadkarni GN, Nauck M, Nikus K, Ning B, Nolte IM, O'Donoghue ML, Orho-Melander M, Pendergrass SA, Penninx BWJH, Preuss MH, Psaty BM, Raffield LM, Raitakari OT, Rettig R, Rheinberger M, Rice KM, Rosenkranz AR, Rossing P, Rotter JI, Sabanayagam C, Schmidt H, Schmidt R, Schöttker B, Schulz CA, Sedaghat S, Shaffer CM, Strauch K, Szymczak S, Taylor KD, Tremblay J, Chaker L, van der Harst P, van der Most PJ, Verweij N, Völker U, Waldenberger M, Wallentin L, Waterworth DM, White HD, Wilson JG, Wong TY, Woodward M, Yang Q, Yasuda M, Yerges-Armstrong LM, Zhang Y, Snieder H, Wanner C, Böger CA, Köttgen A, Kronenberg F, Pattaro C, and Heid IM
- Subjects
- AMP-Activated Protein Kinases, Creatinine, Glomerular Filtration Rate genetics, Humans, Protein Disulfide-Isomerases, United Kingdom, Genome-Wide Association Study, Kidney
- Abstract
Rapid decline of glomerular filtration rate estimated from creatinine (eGFRcrea) is associated with severe clinical endpoints. In contrast to cross-sectionally assessed eGFRcrea, the genetic basis for rapid eGFRcrea decline is largely unknown. To help define this, we meta-analyzed 42 genome-wide association studies from the Chronic Kidney Diseases Genetics Consortium and United Kingdom Biobank to identify genetic loci for rapid eGFRcrea decline. Two definitions of eGFRcrea decline were used: 3 mL/min/1.73m
2 /year or more ("Rapid3"; encompassing 34,874 cases, 107,090 controls) and eGFRcrea decline 25% or more and eGFRcrea under 60 mL/min/1.73m2 at follow-up among those with eGFRcrea 60 mL/min/1.73m2 or more at baseline ("CKDi25"; encompassing 19,901 cases, 175,244 controls). Seven independent variants were identified across six loci for Rapid3 and/or CKDi25: consisting of five variants at four loci with genome-wide significance (near UMOD-PDILT (2), PRKAG2, WDR72, OR2S2) and two variants among 265 known eGFRcrea variants (near GATM, LARP4B). All these loci were novel for Rapid3 and/or CKDi25 and our bioinformatic follow-up prioritized variants and genes underneath these loci. The OR2S2 locus is novel for any eGFRcrea trait including interesting candidates. For the five genome-wide significant lead variants, we found supporting effects for annual change in blood urea nitrogen or cystatin-based eGFR, but not for GATM or LARP4B. Individuals at high compared to those at low genetic risk (8-14 vs. 0-5 adverse alleles) had a 1.20-fold increased risk of acute kidney injury (95% confidence interval 1.08-1.33). Thus, our identified loci for rapid kidney function decline may help prioritize therapeutic targets and identify mechanisms and individuals at risk for sustained deterioration of kidney function., (Copyright © 2020 International Society of Nephrology. All rights reserved.)- Published
- 2021
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27. Discovery and fine-mapping of height loci via high-density imputation of GWASs in individuals of African ancestry.
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Graff M, Justice AE, Young KL, Marouli E, Zhang X, Fine RS, Lim E, Buchanan V, Rand K, Feitosa MF, Wojczynski MK, Yanek LR, Shao Y, Rohde R, Adeyemo AA, Aldrich MC, Allison MA, Ambrosone CB, Ambs S, Amos C, Arnett DK, Atwood L, Bandera EV, Bartz T, Becker DM, Berndt SI, Bernstein L, Bielak LF, Blot WJ, Bottinger EP, Bowden DW, Bradfield JP, Brody JA, Broeckel U, Burke G, Cade BE, Cai Q, Caporaso N, Carlson C, Carpten J, Casey G, Chanock SJ, Chen G, Chen M, Chen YI, Chen WM, Chesi A, Chiang CWK, Chu L, Coetzee GA, Conti DV, Cooper RS, Cushman M, Demerath E, Deming SL, Dimitrov L, Ding J, Diver WR, Duan Q, Evans MK, Falusi AG, Faul JD, Fornage M, Fox C, Freedman BI, Garcia M, Gillanders EM, Goodman P, Gottesman O, Grant SFA, Guo X, Hakonarson H, Haritunians T, Harris TB, Harris CC, Henderson BE, Hennis A, Hernandez DG, Hirschhorn JN, McNeill LH, Howard TD, Howard B, Hsing AW, Hsu YH, Hu JJ, Huff CD, Huo D, Ingles SA, Irvin MR, John EM, Johnson KC, Jordan JM, Kabagambe EK, Kang SJ, Kardia SL, Keating BJ, Kittles RA, Klein EA, Kolb S, Kolonel LN, Kooperberg C, Kuller L, Kutlar A, Lange L, Langefeld CD, Le Marchand L, Leonard H, Lettre G, Levin AM, Li Y, Li J, Liu Y, Liu Y, Liu S, Lohman K, Lotay V, Lu Y, Maixner W, Manson JE, McKnight B, Meng Y, Monda KL, Monroe K, Moore JH, Mosley TH, Mudgal P, Murphy AB, Nadukuru R, Nalls MA, Nathanson KL, Nayak U, N'Diaye A, Nemesure B, Neslund-Dudas C, Neuhouser ML, Nyante S, Ochs-Balcom H, Ogundiran TO, Ogunniyi A, Ojengbede O, Okut H, Olopade OI, Olshan A, Padhukasahasram B, Palmer J, Palmer CD, Palmer ND, Papanicolaou G, Patel SR, Pettaway CA, Peyser PA, Press MF, Rao DC, Rasmussen-Torvik LJ, Redline S, Reiner AP, Rhie SK, Rodriguez-Gil JL, Rotimi CN, Rotter JI, Ruiz-Narvaez EA, Rybicki BA, Salako B, Sale MM, Sanderson M, Schadt E, Schreiner PJ, Schurmann C, Schwartz AG, Shriner DA, Signorello LB, Singleton AB, Siscovick DS, Smith JA, Smith S, Speliotes E, Spitz M, Stanford JL, Stevens VL, Stram A, Strom SS, Sucheston L, Sun YV, Tajuddin SM, Taylor H, Taylor K, Tayo BO, Thun MJ, Tucker MA, Vaidya D, Van Den Berg DJ, Vedantam S, Vitolins M, Wang Z, Ware EB, Wassertheil-Smoller S, Weir DR, Wiencke JK, Williams SM, Williams LK, Wilson JG, Witte JS, Wrensch M, Wu X, Yao J, Zakai N, Zanetti K, Zemel BS, Zhao W, Zhao JH, Zheng W, Zhi D, Zhou J, Zhu X, Ziegler RG, Zmuda J, Zonderman AB, Psaty BM, Borecki IB, Cupples LA, Liu CT, Haiman CA, Loos R, Ng MCY, and North KE
- Subjects
- Africa ethnology, Black or African American genetics, Europe ethnology, Female, Humans, Male, Polymorphism, Single Nucleotide genetics, Black People genetics, Body Height genetics, Genome-Wide Association Study
- Abstract
Although many loci have been associated with height in European ancestry populations, very few have been identified in African ancestry individuals. Furthermore, many of the known loci have yet to be generalized to and fine-mapped within a large-scale African ancestry sample. We performed sex-combined and sex-stratified meta-analyses in up to 52,764 individuals with height and genome-wide genotyping data from the African Ancestry Anthropometry Genetics Consortium (AAAGC). We additionally combined our African ancestry meta-analysis results with published European genome-wide association study (GWAS) data. In the African ancestry analyses, we identified three novel loci (SLC4A3, NCOA2, ECD/FAM149B1) in sex-combined results and two loci (CRB1, KLF6) in women only. In the African plus European sex-combined GWAS, we identified an additional three novel loci (RCCD1, G6PC3, CEP95) which were equally driven by AAAGC and European results. Among 39 genome-wide significant signals at known loci, conditioning index SNPs from European studies identified 20 secondary signals. Two of the 20 new secondary signals and none of the 8 novel loci had minor allele frequencies (MAF) < 5%. Of 802 known European height signals, 643 displayed directionally consistent associations with height, of which 205 were nominally significant (p < 0.05) in the African ancestry sex-combined sample. Furthermore, 148 of 241 loci contained ≤20 variants in the credible sets that jointly account for 99% of the posterior probability of driving the associations. In summary, trans-ethnic meta-analyses revealed novel signals and further improved fine-mapping of putative causal variants in loci shared between African and European ancestry populations., (Copyright © 2021 American Society of Human Genetics. All rights reserved.)
- Published
- 2021
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28. The Sickle Cell Disease Ontology: Enabling Collaborative Research and Co-Designing of New Planetary Health Applications.
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Nembaware V, Mazandu GK, Hotchkiss J, Safari Serufuri JM, Kent J, Kengne AP, Anie K, Munung NS, Bukini D, Bitoungui VJN, Munube D, Chirwa U, Chunda-Liyoka C, Jonathan A, Flor-Park MV, Esoh KK, Jonas M, Mnika K, Oosterwyk C, Masamu U, Morrice J, Uwineza A, Nguweneza A, Banda K, Nyanor I, Adjei DN, Siebu NE, Nkanyemka M, Kuona P, Tayo BO, Campbell A, Oron AP, Nnodu OE, Painstil V, Makani J, Mulder N, and Wonkam A
- Subjects
- Anemia, Sickle Cell epidemiology, Animals, Disease Management, Disease Susceptibility, Humans, Research, Anemia, Sickle Cell diagnosis, Anemia, Sickle Cell etiology, Anemia, Sickle Cell therapy
- Abstract
Sickle cell disease (SCD) is one of the most common blood disorders impacting planetary health. Over 300,000 newborns are diagnosed with SCD each year globally, with an increasing trend. The sickle cell disease ontology (SCDO) is the most comprehensive multidisciplinary SCD knowledge portal. The SCDO was collaboratively developed by the SCDO working group, which includes experts in SCD and data standards from across the globe. This expert review presents highlights and lessons learned from the fourth SCDO workshop that marked the beginning of applications toward planetary health impact, and with an eye to empower and cultivate multisite SCD collaborative research. The workshop was organized by the Sickle Africa Data Coordinating Center (SADaCC) and attended by 44 participants from 14 countries, with 2 participants connecting remotely. Notably, from the standpoint of democratizing and innovating scientific meeting design, an SCD patient advocate also presented at the workshop, giving a broader real-life perspective on patients' aspirations, needs, and challenges. A major component of the workshop was new approaches to harness SCDO to harmonize data elements used by different studies. This was facilitated by a web-based platform onto which participants uploaded data elements from previous or ongoing SCD-relevant research studies before the workshop, making multisite collaborative research studies based on existing SCD data possible, including multisite cohort, SCD global clinical trials, and SCD community engagement approaches. Trainees presented proposals for systematic literature reviews in key SCD research areas. This expert review emphasizes potential and prospects of SCDO-enabled data standards and harmonization to facilitate large-scale global SCD collaborative initiatives. As the fields of public and global health continue to broaden toward planetary health, the SCDO is well poised to play a prominent role to decipher SCD pathophysiology further, and co-design diagnostics and therapeutics innovation in the field.
- Published
- 2020
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29. Association of HSD17B13 rs72613567:TA with non-alcoholic fatty liver disease in Hispanics/Latinos.
- Author
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Kallwitz E, Tayo BO, Kuniholm MH, Daviglus M, Zeng D, Isasi CR, and Cotler SJ
- Subjects
- Hispanic or Latino genetics, Humans, Liver Cirrhosis, Polymorphism, Single Nucleotide, Transaminases, 17-Hydroxysteroid Dehydrogenases genetics, Non-alcoholic Fatty Liver Disease ethnology, Non-alcoholic Fatty Liver Disease genetics
- Abstract
Introduction: Non-alcoholic fatty liver disease (NAFLD) disproportionately affects Hispanic/Latinos and rates of NAFLD vary among Hispanics from different background groups. Genetic variants and continental ancestry contribute to NAFLD disparities among Hispanics. We evaluated two newly identified NAFLD-associated single nucleotide polymorphisms of HSD17B13, rs72613567:TA and rs62305723:A in Hispanics/Latinos., Methods: Clinical data, genotypes of variants of interest and estimates of continental ancestry were extracted from the Hispanic Community Health Study/Study of Latinos (HCHS/SOL) database, which includes a cohort of 16 415 US Hispanic/Latinos. Surrogate endpoints for NAFLD were suspected NAFLD based on unexplained aminotransferase elevation, continuous ALT levels and FIB-4 scores to estimate hepatic fibrosis., Results: In all, 9342 participants were included for analysis. The rs72613567:TA allele was found in 15.3% and the rs62305723:A allele was identified in 4.5% of HCHS/SOL participants. rs72613567:TA was less frequent in persons with vs without suspected NAFLD (12.4% vs 15.7%, P < .001) and rs72613567:TA was associated with lower FIB-4 scores (P = .01). For persons with the NAFLD-associated PNPLA3 rs738409:G allele, the presence of rs72613567:TA was associated with a lower rate of suspected NAFD (odds ratio = 0.76, P < .001). rs72613567:TA was less frequent in Hispanic/Latino background groups with higher rates of suspected NAFLD. The rs62305723:A allele was not associated with suspected NAFLD or FIB-4 score., Conclusion: The rs72613567:TA allele is associated with lower rates of suspected NAFLD and lower FIB-4 scores among Hispanic/Latinos and with lower rates of suspected NAFLD in persons with the PNPLA3 rs738409:G allele. The rs72613567:TA allele contributes to NAFLD disparities among Hispanic/Latino background groups., (© 2020 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.)
- Published
- 2020
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30. American Ancestry Is a Risk Factor for Suspected Nonalcoholic Fatty Liver Disease in Hispanic/Latino Adults.
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Kallwitz ER, Tayo BO, Kuniholm MH, Cai J, Daviglus M, Cooper RS, and Cotler SJ
- Subjects
- Adult, Biomarkers blood, DNA genetics, Female, Humans, Lipase metabolism, Male, Membrane Proteins metabolism, Middle Aged, Non-alcoholic Fatty Liver Disease genetics, Non-alcoholic Fatty Liver Disease metabolism, Risk Factors, Genetic Predisposition to Disease, Hispanic or Latino genetics, Lipase genetics, Membrane Proteins genetics, Non-alcoholic Fatty Liver Disease ethnology, Polymorphism, Single Nucleotide, Transaminases blood
- Abstract
Background & Aims: Nonalcoholic fatty liver disease (NAFLD) disproportionally affects Hispanic/Latino populations. However, the magnitude varies among Hispanic/Latino ethnic groups. We investigated the mechanisms of these disparities., Methods: We examined associations of NAFLD-associated genetic variants and continental ancestry with suspected NAFLD, levels of alanine aminotransferase (ALT), and liver fibrosis using data from the Hispanic Community Health Study/Study of Latinos-a population-based study of Hispanic/Latino adults in the United States. We evaluated data from 16,415 Hispanic/Latino adults in 4 cities from 2008 through 2011. Subjects suspected of having NAFLD or liver fibrosis were identified based on unexplained increases in levels of aminotransferases and FIB-4 score, respectively., Results: Among the 9342 participants with available genetic and aminotransferase data, the PNPLA3 G allele (odds ratio [OR], 1.53; 95% CI, 1.41-1.66), TM6SF2 T allele (OR, 1.41; 95% CI, 1.20-1.67), and PPP1R3B G allele (OR, 1.16; 95% CI, 1.06-1.28) were associated with suspected NAFLD. PNPLA3 G was also associated with increased levels of ALT, except in participants with Dominican and South American backgrounds, and with liver fibrosis. The frequency of PNPLA3 G was high (41%) and TM6SF2 T (5%) was low in Hispanic/Latinos. PNPLA3 G frequency differed among Hispanic background groups with the highest proportion in Mexicans (52%) and the lowest proportion in Dominicans (23%). After adjustment for demographic, clinical, and behavioral factors, as well as PNPLA3 G, TM6SF2 T, and PPP1R3B G, American ancestry had a positive association with level of ALT (r = 6.61%; P < .001), whereas African (r = -3.84%; P < .001) and European (r = -4.31%; P < .001) ancestry were inversely associated with level of ALT., Conclusions: American ancestry and PNPLA3 G are independent predictors of ALT levels in US Hispanic/Latinos and may in part explain NAFLD disparities in US Hispanic/Latinos., (Copyright © 2019 AGA Institute. Published by Elsevier Inc. All rights reserved.)
- Published
- 2019
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31. Genome-wide association meta-analyses and fine-mapping elucidate pathways influencing albuminuria.
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Teumer A, Li Y, Ghasemi S, Prins BP, Wuttke M, Hermle T, Giri A, Sieber KB, Qiu C, Kirsten H, Tin A, Chu AY, Bansal N, Feitosa MF, Wang L, Chai JF, Cocca M, Fuchsberger C, Gorski M, Hoppmann A, Horn K, Li M, Marten J, Noce D, Nutile T, Sedaghat S, Sveinbjornsson G, Tayo BO, van der Most PJ, Xu Y, Yu Z, Gerstner L, Ärnlöv J, Bakker SJL, Baptista D, Biggs ML, Boerwinkle E, Brenner H, Burkhardt R, Carroll RJ, Chee ML, Chee ML, Chen M, Cheng CY, Cook JP, Coresh J, Corre T, Danesh J, de Borst MH, De Grandi A, de Mutsert R, de Vries APJ, Degenhardt F, Dittrich K, Divers J, Eckardt KU, Ehret G, Endlich K, Felix JF, Franco OH, Franke A, Freedman BI, Freitag-Wolf S, Gansevoort RT, Giedraitis V, Gögele M, Grundner-Culemann F, Gudbjartsson DF, Gudnason V, Hamet P, Harris TB, Hicks AA, Holm H, Foo VHX, Hwang SJ, Ikram MA, Ingelsson E, Jaddoe VWV, Jakobsdottir J, Josyula NS, Jung B, Kähönen M, Khor CC, Kiess W, Koenig W, Körner A, Kovacs P, Kramer H, Krämer BK, Kronenberg F, Lange LA, Langefeld CD, Lee JJ, Lehtimäki T, Lieb W, Lim SC, Lind L, Lindgren CM, Liu J, Loeffler M, Lyytikäinen LP, Mahajan A, Maranville JC, Mascalzoni D, McMullen B, Meisinger C, Meitinger T, Miliku K, Mook-Kanamori DO, Müller-Nurasyid M, Mychaleckyj JC, Nauck M, Nikus K, Ning B, Noordam R, Connell JO, Olafsson I, Palmer ND, Peters A, Podgornaia AI, Ponte B, Poulain T, Pramstaller PP, Rabelink TJ, Raffield LM, Reilly DF, Rettig R, Rheinberger M, Rice KM, Rivadeneira F, Runz H, Ryan KA, Sabanayagam C, Saum KU, Schöttker B, Shaffer CM, Shi Y, Smith AV, Strauch K, Stumvoll M, Sun BB, Szymczak S, Tai ES, Tan NYQ, Taylor KD, Teren A, Tham YC, Thiery J, Thio CHL, Thomsen H, Thorsteinsdottir U, Tönjes A, Tremblay J, Uitterlinden AG, van der Harst P, Verweij N, Vogelezang S, Völker U, Waldenberger M, Wang C, Wilson OD, Wong C, Wong TY, Yang Q, Yasuda M, Akilesh S, Bochud M, Böger CA, Devuyst O, Edwards TL, Ho K, Morris AP, Parsa A, Pendergrass SA, Psaty BM, Rotter JI, Stefansson K, Wilson JG, Susztak K, Snieder H, Heid IM, Scholz M, Butterworth AS, Hung AM, Pattaro C, and Köttgen A
- Subjects
- Animals, Creatinine urine, Diabetes Mellitus genetics, Diabetes Mellitus urine, Drosophila melanogaster genetics, Gene Expression Regulation, Genetic Loci, Genetic Predisposition to Disease, Humans, Phenomics, Risk Factors, Albuminuria genetics, Chromosome Mapping, Genome-Wide Association Study, Meta-Analysis as Topic
- Abstract
Increased levels of the urinary albumin-to-creatinine ratio (UACR) are associated with higher risk of kidney disease progression and cardiovascular events, but underlying mechanisms are incompletely understood. Here, we conduct trans-ethnic (n = 564,257) and European-ancestry specific meta-analyses of genome-wide association studies of UACR, including ancestry- and diabetes-specific analyses, and identify 68 UACR-associated loci. Genetic correlation analyses and risk score associations in an independent electronic medical records database (n = 192,868) reveal connections with proteinuria, hyperlipidemia, gout, and hypertension. Fine-mapping and trans-Omics analyses with gene expression in 47 tissues and plasma protein levels implicate genes potentially operating through differential expression in kidney (including TGFB1, MUC1, PRKCI, and OAF), and allow coupling of UACR associations to altered plasma OAF concentrations. Knockdown of OAF and PRKCI orthologs in Drosophila nephrocytes reduces albumin endocytosis. Silencing fly PRKCI further impairs slit diaphragm formation. These results generate a priority list of genes and pathways for translational research to reduce albuminuria.
- Published
- 2019
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32. A multi-ancestry genome-wide study incorporating gene-smoking interactions identifies multiple new loci for pulse pressure and mean arterial pressure.
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Sung YJ, de Las Fuentes L, Winkler TW, Chasman DI, Bentley AR, Kraja AT, Ntalla I, Warren HR, Guo X, Schwander K, Manning AK, Brown MR, Aschard H, Feitosa MF, Franceschini N, Lu Y, Cheng CY, Sim X, Vojinovic D, Marten J, Musani SK, Kilpeläinen TO, Richard MA, Aslibekyan S, Bartz TM, Dorajoo R, Li C, Liu Y, Rankinen T, Smith AV, Tajuddin SM, Tayo BO, Zhao W, Zhou Y, Matoba N, Sofer T, Alver M, Amini M, Boissel M, Chai JF, Chen X, Divers J, Gandin I, Gao C, Giulianini F, Goel A, Harris SE, Hartwig FP, He M, Horimoto ARVR, Hsu FC, Jackson AU, Kammerer CM, Kasturiratne A, Komulainen P, Kühnel B, Leander K, Lee WJ, Lin KH, Luan J, Lyytikäinen LP, McKenzie CA, Nelson CP, Noordam R, Scott RA, Sheu WHH, Stančáková A, Takeuchi F, van der Most PJ, Varga TV, Waken RJ, Wang H, Wang Y, Ware EB, Weiss S, Wen W, Yanek LR, Zhang W, Zhao JH, Afaq S, Alfred T, Amin N, Arking DE, Aung T, Barr RG, Bielak LF, Boerwinkle E, Bottinger EP, Braund PS, Brody JA, Broeckel U, Cade B, Campbell A, Canouil M, Chakravarti A, Cocca M, Collins FS, Connell JM, de Mutsert R, de Silva HJ, Dörr M, Duan Q, Eaton CB, Ehret G, Evangelou E, Faul JD, Forouhi NG, Franco OH, Friedlander Y, Gao H, Gigante B, Gu CC, Gupta P, Hagenaars SP, Harris TB, He J, Heikkinen S, Heng CK, Hofman A, Howard BV, Hunt SC, Irvin MR, Jia Y, Katsuya T, Kaufman J, Kerrison ND, Khor CC, Koh WP, Koistinen HA, Kooperberg CB, Krieger JE, Kubo M, Kutalik Z, Kuusisto J, Lakka TA, Langefeld CD, Langenberg C, Launer LJ, Lee JH, Lehne B, Levy D, Lewis CE, Li Y, Lim SH, Liu CT, Liu J, Liu J, Liu Y, Loh M, Lohman KK, Louie T, Mägi R, Matsuda K, Meitinger T, Metspalu A, Milani L, Momozawa Y, Mosley TH Jr, Nalls MA, Nasri U, O'Connell JR, Ogunniyi A, Palmas WR, Palmer ND, Pankow JS, Pedersen NL, Peters A, Peyser PA, Polasek O, Porteous D, Raitakari OT, Renström F, Rice TK, Ridker PM, Robino A, Robinson JG, Rose LM, Rudan I, Sabanayagam C, Salako BL, Sandow K, Schmidt CO, Schreiner PJ, Scott WR, Sever P, Sims M, Sitlani CM, Smith BH, Smith JA, Snieder H, Starr JM, Strauch K, Tang H, Taylor KD, Teo YY, Tham YC, Uitterlinden AG, Waldenberger M, Wang L, Wang YX, Wei WB, Wilson G, Wojczynski MK, Xiang YB, Yao J, Yuan JM, Zonderman AB, Becker DM, Boehnke M, Bowden DW, Chambers JC, Chen YI, Weir DR, de Faire U, Deary IJ, Esko T, Farrall M, Forrester T, Freedman BI, Froguel P, Gasparini P, Gieger C, Horta BL, Hung YJ, Jonas JB, Kato N, Kooner JS, Laakso M, Lehtimäki T, Liang KW, Magnusson PKE, Oldehinkel AJ, Pereira AC, Perls T, Rauramaa R, Redline S, Rettig R, Samani NJ, Scott J, Shu XO, van der Harst P, Wagenknecht LE, Wareham NJ, Watkins H, Wickremasinghe AR, Wu T, Kamatani Y, Laurie CC, Bouchard C, Cooper RS, Evans MK, Gudnason V, Hixson J, Kardia SLR, Kritchevsky SB, Psaty BM, van Dam RM, Arnett DK, Mook-Kanamori DO, Fornage M, Fox ER, Hayward C, van Duijn CM, Tai ES, Wong TY, Loos RJF, Reiner AP, Rotimi CN, Bierut LJ, Zhu X, Cupples LA, Province MA, Rotter JI, Franks PW, Rice K, Elliott P, Caulfield MJ, Gauderman WJ, Munroe PB, Rao DC, and Morrison AC
- Subjects
- Adolescent, Adult, Aged, Aged, 80 and over, Antiporters genetics, Blood Pressure genetics, Caspase 9 genetics, Ethnicity genetics, Female, Genome-Wide Association Study, Humans, Hypertension etiology, Male, Membrane Proteins genetics, Middle Aged, Receptors, Vasopressin genetics, Sulfate Transporters genetics, Tumor Suppressor Proteins genetics, Young Adult, Arterial Pressure genetics, Gene-Environment Interaction, Hypertension genetics, Polymorphism, Genetic, Racial Groups genetics, Smoking adverse effects
- Abstract
Elevated blood pressure (BP), a leading cause of global morbidity and mortality, is influenced by both genetic and lifestyle factors. Cigarette smoking is one such lifestyle factor. Across five ancestries, we performed a genome-wide gene-smoking interaction study of mean arterial pressure (MAP) and pulse pressure (PP) in 129 913 individuals in stage 1 and follow-up analysis in 480 178 additional individuals in stage 2. We report here 136 loci significantly associated with MAP and/or PP. Of these, 61 were previously published through main-effect analysis of BP traits, 37 were recently reported by us for systolic BP and/or diastolic BP through gene-smoking interaction analysis and 38 were newly identified (P < 5 × 10-8, false discovery rate < 0.05). We also identified nine new signals near known loci. Of the 136 loci, 8 showed significant interaction with smoking status. They include CSMD1 previously reported for insulin resistance and BP in the spontaneously hypertensive rats. Many of the 38 new loci show biologic plausibility for a role in BP regulation. SLC26A7 encodes a chloride/bicarbonate exchanger expressed in the renal outer medullary collecting duct. AVPR1A is widely expressed, including in vascular smooth muscle cells, kidney, myocardium and brain. FHAD1 is a long non-coding RNA overexpressed in heart failure. TMEM51 was associated with contractile function in cardiomyocytes. CASP9 plays a central role in cardiomyocyte apoptosis. Identified only in African ancestry were 30 novel loci. Our findings highlight the value of multi-ancestry investigations, particularly in studies of interaction with lifestyle factors, where genomic and lifestyle differences may contribute to novel findings., (© The Author(s) 2019. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com.)
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- 2019
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33. A catalog of genetic loci associated with kidney function from analyses of a million individuals.
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Wuttke M, Li Y, Li M, Sieber KB, Feitosa MF, Gorski M, Tin A, Wang L, Chu AY, Hoppmann A, Kirsten H, Giri A, Chai JF, Sveinbjornsson G, Tayo BO, Nutile T, Fuchsberger C, Marten J, Cocca M, Ghasemi S, Xu Y, Horn K, Noce D, van der Most PJ, Sedaghat S, Yu Z, Akiyama M, Afaq S, Ahluwalia TS, Almgren P, Amin N, Ärnlöv J, Bakker SJL, Bansal N, Baptista D, Bergmann S, Biggs ML, Biino G, Boehnke M, Boerwinkle E, Boissel M, Bottinger EP, Boutin TS, Brenner H, Brumat M, Burkhardt R, Butterworth AS, Campana E, Campbell A, Campbell H, Canouil M, Carroll RJ, Catamo E, Chambers JC, Chee ML, Chee ML, Chen X, Cheng CY, Cheng Y, Christensen K, Cifkova R, Ciullo M, Concas MP, Cook JP, Coresh J, Corre T, Sala CF, Cusi D, Danesh J, Daw EW, de Borst MH, De Grandi A, de Mutsert R, de Vries APJ, Degenhardt F, Delgado G, Demirkan A, Di Angelantonio E, Dittrich K, Divers J, Dorajoo R, Eckardt KU, Ehret G, Elliott P, Endlich K, Evans MK, Felix JF, Foo VHX, Franco OH, Franke A, Freedman BI, Freitag-Wolf S, Friedlander Y, Froguel P, Gansevoort RT, Gao H, Gasparini P, Gaziano JM, Giedraitis V, Gieger C, Girotto G, Giulianini F, Gögele M, Gordon SD, Gudbjartsson DF, Gudnason V, Haller T, Hamet P, Harris TB, Hartman CA, Hayward C, Hellwege JN, Heng CK, Hicks AA, Hofer E, Huang W, Hutri-Kähönen N, Hwang SJ, Ikram MA, Indridason OS, Ingelsson E, Ising M, Jaddoe VWV, Jakobsdottir J, Jonas JB, Joshi PK, Josyula NS, Jung B, Kähönen M, Kamatani Y, Kammerer CM, Kanai M, Kastarinen M, Kerr SM, Khor CC, Kiess W, Kleber ME, Koenig W, Kooner JS, Körner A, Kovacs P, Kraja AT, Krajcoviechova A, Kramer H, Krämer BK, Kronenberg F, Kubo M, Kühnel B, Kuokkanen M, Kuusisto J, La Bianca M, Laakso M, Lange LA, Langefeld CD, Lee JJ, Lehne B, Lehtimäki T, Lieb W, Lim SC, Lind L, Lindgren CM, Liu J, Liu J, Loeffler M, Loos RJF, Lucae S, Lukas MA, Lyytikäinen LP, Mägi R, Magnusson PKE, Mahajan A, Martin NG, Martins J, März W, Mascalzoni D, Matsuda K, Meisinger C, Meitinger T, Melander O, Metspalu A, Mikaelsdottir EK, Milaneschi Y, Miliku K, Mishra PP, Mohlke KL, Mononen N, Montgomery GW, Mook-Kanamori DO, Mychaleckyj JC, Nadkarni GN, Nalls MA, Nauck M, Nikus K, Ning B, Nolte IM, Noordam R, O'Connell J, O'Donoghue ML, Olafsson I, Oldehinkel AJ, Orho-Melander M, Ouwehand WH, Padmanabhan S, Palmer ND, Palsson R, Penninx BWJH, Perls T, Perola M, Pirastu M, Pirastu N, Pistis G, Podgornaia AI, Polasek O, Ponte B, Porteous DJ, Poulain T, Pramstaller PP, Preuss MH, Prins BP, Province MA, Rabelink TJ, Raffield LM, Raitakari OT, Reilly DF, Rettig R, Rheinberger M, Rice KM, Ridker PM, Rivadeneira F, Rizzi F, Roberts DJ, Robino A, Rossing P, Rudan I, Rueedi R, Ruggiero D, Ryan KA, Saba Y, Sabanayagam C, Salomaa V, Salvi E, Saum KU, Schmidt H, Schmidt R, Schöttker B, Schulz CA, Schupf N, Shaffer CM, Shi Y, Smith AV, Smith BH, Soranzo N, Spracklen CN, Strauch K, Stringham HM, Stumvoll M, Svensson PO, Szymczak S, Tai ES, Tajuddin SM, Tan NYQ, Taylor KD, Teren A, Tham YC, Thiery J, Thio CHL, Thomsen H, Thorleifsson G, Toniolo D, Tönjes A, Tremblay J, Tzoulaki I, Uitterlinden AG, Vaccargiu S, van Dam RM, van der Harst P, van Duijn CM, Velez Edward DR, Verweij N, Vogelezang S, Völker U, Vollenweider P, Waeber G, Waldenberger M, Wallentin L, Wang YX, Wang C, Waterworth DM, Bin Wei W, White H, Whitfield JB, Wild SH, Wilson JF, Wojczynski MK, Wong C, Wong TY, Xu L, Yang Q, Yasuda M, Yerges-Armstrong LM, Zhang W, Zonderman AB, Rotter JI, Bochud M, Psaty BM, Vitart V, Wilson JG, Dehghan A, Parsa A, Chasman DI, Ho K, Morris AP, Devuyst O, Akilesh S, Pendergrass SA, Sim X, Böger CA, Okada Y, Edwards TL, Snieder H, Stefansson K, Hung AM, Heid IM, Scholz M, Teumer A, Köttgen A, and Pattaro C
- Subjects
- Chromosome Mapping, Genome-Wide Association Study, Glomerular Filtration Rate, Humans, Inheritance Patterns, Kidney Function Tests, Phenotype, Polymorphism, Single Nucleotide, Renal Insufficiency, Chronic urine, Uromodulin urine, White People, Genetic Association Studies methods, Genetic Predisposition to Disease, Quantitative Trait Loci, Quantitative Trait, Heritable, Renal Insufficiency, Chronic genetics, Renal Insufficiency, Chronic physiopathology
- Abstract
Chronic kidney disease (CKD) is responsible for a public health burden with multi-systemic complications. Through trans-ancestry meta-analysis of genome-wide association studies of estimated glomerular filtration rate (eGFR) and independent replication (n = 1,046,070), we identified 264 associated loci (166 new). Of these, 147 were likely to be relevant for kidney function on the basis of associations with the alternative kidney function marker blood urea nitrogen (n = 416,178). Pathway and enrichment analyses, including mouse models with renal phenotypes, support the kidney as the main target organ. A genetic risk score for lower eGFR was associated with clinically diagnosed CKD in 452,264 independent individuals. Colocalization analyses of associations with eGFR among 783,978 European-ancestry individuals and gene expression across 46 human tissues, including tubulo-interstitial and glomerular kidney compartments, identified 17 genes differentially expressed in kidney. Fine-mapping highlighted missense driver variants in 11 genes and kidney-specific regulatory variants. These results provide a comprehensive priority list of molecular targets for translational research.
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- 2019
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34. Multiancestry Genome-Wide Association Study of Lipid Levels Incorporating Gene-Alcohol Interactions.
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de Vries PS, Brown MR, Bentley AR, Sung YJ, Winkler TW, Ntalla I, Schwander K, Kraja AT, Guo X, Franceschini N, Cheng CY, Sim X, Vojinovic D, Huffman JE, Musani SK, Li C, Feitosa MF, Richard MA, Noordam R, Aschard H, Bartz TM, Bielak LF, Deng X, Dorajoo R, Lohman KK, Manning AK, Rankinen T, Smith AV, Tajuddin SM, Evangelou E, Graff M, Alver M, Boissel M, Chai JF, Chen X, Divers J, Gandin I, Gao C, Goel A, Hagemeijer Y, Harris SE, Hartwig FP, He M, Horimoto ARVR, Hsu FC, Jackson AU, Kasturiratne A, Komulainen P, Kühnel B, Laguzzi F, Lee JH, Luan J, Lyytikäinen LP, Matoba N, Nolte IM, Pietzner M, Riaz M, Said MA, Scott RA, Sofer T, Stančáková A, Takeuchi F, Tayo BO, van der Most PJ, Varga TV, Wang Y, Ware EB, Wen W, Yanek LR, Zhang W, Zhao JH, Afaq S, Amin N, Amini M, Arking DE, Aung T, Ballantyne C, Boerwinkle E, Broeckel U, Campbell A, Canouil M, Charumathi S, Chen YI, Connell JM, de Faire U, de Las Fuentes L, de Mutsert R, de Silva HJ, Ding J, Dominiczak AF, Duan Q, Eaton CB, Eppinga RN, Faul JD, Fisher V, Forrester T, Franco OH, Friedlander Y, Ghanbari M, Giulianini F, Grabe HJ, Grove ML, Gu CC, Harris TB, Heikkinen S, Heng CK, Hirata M, Hixson JE, Howard BV, Ikram MA, Jacobs DR, Johnson C, Jonas JB, Kammerer CM, Katsuya T, Khor CC, Kilpeläinen TO, Koh WP, Koistinen HA, Kolcic I, Kooperberg C, Krieger JE, Kritchevsky SB, Kubo M, Kuusisto J, Lakka TA, Langefeld CD, Langenberg C, Launer LJ, Lehne B, Lemaitre RN, Li Y, Liang J, Liu J, Liu K, Loh M, Louie T, Mägi R, Manichaikul AW, McKenzie CA, Meitinger T, Metspalu A, Milaneschi Y, Milani L, Mohlke KL, Mosley TH, Mukamal KJ, Nalls MA, Nauck M, Nelson CP, Sotoodehnia N, O'Connell JR, Palmer ND, Pazoki R, Pedersen NL, Peters A, Peyser PA, Polasek O, Poulter N, Raffel LJ, Raitakari OT, Reiner AP, Rice TK, Rich SS, Robino A, Robinson JG, Rose LM, Rudan I, Schmidt CO, Schreiner PJ, Scott WR, Sever P, Shi Y, Sidney S, Sims M, Smith BH, Smith JA, Snieder H, Starr JM, Strauch K, Tan N, Taylor KD, Teo YY, Tham YC, Uitterlinden AG, van Heemst D, Vuckovic D, Waldenberger M, Wang L, Wang Y, Wang Z, Wei WB, Williams C, Wilson G, Wojczynski MK, Yao J, Yu B, Yu C, Yuan JM, Zhao W, Zonderman AB, Becker DM, Boehnke M, Bowden DW, Chambers JC, Deary IJ, Esko T, Farrall M, Franks PW, Freedman BI, Froguel P, Gasparini P, Gieger C, Horta BL, Kamatani Y, Kato N, Kooner JS, Laakso M, Leander K, Lehtimäki T, Magnusson PKE, Penninx B, Pereira AC, Rauramaa R, Samani NJ, Scott J, Shu XO, van der Harst P, Wagenknecht LE, Wang YX, Wareham NJ, Watkins H, Weir DR, Wickremasinghe AR, Zheng W, Elliott P, North KE, Bouchard C, Evans MK, Gudnason V, Liu CT, Liu Y, Psaty BM, Ridker PM, van Dam RM, Kardia SLR, Zhu X, Rotimi CN, Mook-Kanamori DO, Fornage M, Kelly TN, Fox ER, Hayward C, van Duijn CM, Tai ES, Wong TY, Liu J, Rotter JI, Gauderman WJ, Province MA, Munroe PB, Rice K, Chasman DI, Cupples LA, Rao DC, and Morrison AC
- Subjects
- Adolescent, Adult, Aged, Cholesterol, HDL blood, Cholesterol, LDL blood, Female, Genome-Wide Association Study, Genotype, Humans, Life Style, Male, Middle Aged, Phenotype, Racial Groups, Triglycerides blood, Vascular Endothelial Growth Factor B, Young Adult, Alcohol Drinking epidemiology, Lipids blood
- Abstract
A person's lipid profile is influenced by genetic variants and alcohol consumption, but the contribution of interactions between these exposures has not been studied. We therefore incorporated gene-alcohol interactions into a multiancestry genome-wide association study of levels of high-density lipoprotein cholesterol, low-density lipoprotein cholesterol, and triglycerides. We included 45 studies in stage 1 (genome-wide discovery) and 66 studies in stage 2 (focused follow-up), for a total of 394,584 individuals from 5 ancestry groups. Analyses covered the period July 2014-November 2017. Genetic main effects and interaction effects were jointly assessed by means of a 2-degrees-of-freedom (df) test, and a 1-df test was used to assess the interaction effects alone. Variants at 495 loci were at least suggestively associated (P < 1 × 10-6) with lipid levels in stage 1 and were evaluated in stage 2, followed by combined analyses of stage 1 and stage 2. In the combined analysis of stages 1 and 2, a total of 147 independent loci were associated with lipid levels at P < 5 × 10-8 using 2-df tests, of which 18 were novel. No genome-wide-significant associations were found testing the interaction effect alone. The novel loci included several genes (proprotein convertase subtilisin/kexin type 5 (PCSK5), vascular endothelial growth factor B (VEGFB), and apolipoprotein B mRNA editing enzyme, catalytic polypeptide 1 (APOBEC1) complementation factor (A1CF)) that have a putative role in lipid metabolism on the basis of existing evidence from cellular and experimental models., (Published by Oxford University Press on behalf of the Johns Hopkins Bloomberg School of Public Health 2019.)
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- 2019
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35. "Maximum tolerated dose" vs "fixed low-dose" hydroxyurea for treatment of adults with sickle cell anemia.
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Akingbola TS, Tayo BO, Ezekekwu CA, Sonubi O, Zhang X, Saraf SL, Molokie R, Hsu LL, Han J, Cooper RS, and Gordeuk VR
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- Adolescent, Adult, Female, Humans, Hydroxyurea adverse effects, Male, Anemia, Sickle Cell blood, Anemia, Sickle Cell drug therapy, Hydroxyurea administration & dosage, Maximum Tolerated Dose
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- 2019
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36. Combined linkage and association analysis identifies rare and low frequency variants for blood pressure at 1q31.
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Wang H, Nandakumar P, Tekola-Ayele F, Tayo BO, Ware EB, Gu CC, Lu Y, Yao J, Zhao W, Smith JA, Hellwege JN, Guo X, Edwards TL, Loos RJF, Arnett DK, Fornage M, Rotimi C, Kardia SLR, Cooper RS, Rao DC, Ehret G, Chakravarti A, and Zhu X
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- Black or African American genetics, Gene Frequency, Genome-Wide Association Study, Humans, Hypertension ethnology, Linkage Disequilibrium, Chromosomes, Human, Pair 1 genetics, Hypertension genetics, Polymorphism, Single Nucleotide
- Abstract
High blood pressure (BP) is a major risk factor for cardiovascular disease (CVD) and is more prevalent in African Americans as compared to other US groups. Although large, population-based genome-wide association studies (GWAS) have identified over 300 common polymorphisms modulating inter-individual BP variation, largely in European ancestry subjects, most of them do not localize to regions previously identified through family-based linkage studies. This discrepancy has remained unexplained despite the statistical power differences between current GWAS and prior linkage studies. To address this issue, we performed genome-wide linkage analysis of BP traits in African-American families from the Family Blood Pressure Program (FBPP) and genotyped on the Illumina Human Exome BeadChip v1.1. We identified a genomic region on chromosome 1q31 with LOD score 3.8 for pulse pressure (PP), a region we previously implicated in DBP studies of European ancestry families. Although no reported GWAS variants map to this region, combined linkage and association analysis of PP identified 81 rare and low frequency exonic variants accounting for the linkage evidence. Replication analysis in eight independent African ancestry cohorts (N = 16,968) supports this specific association with PP (P = 0.0509). Additional association and network analyses identified multiple potential candidate genes in this region expressed in multiple tissues and with a strong biological support for a role in BP. In conclusion, multiple genes and rare variants on 1q31 contribute to PP variation. Beyond producing new insights into PP, we demonstrate how family-based linkage and association studies can implicate specific rare and low frequency variants for complex traits.
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- 2019
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37. Novel genetic associations for blood pressure identified via gene-alcohol interaction in up to 570K individuals across multiple ancestries.
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Feitosa MF, Kraja AT, Chasman DI, Sung YJ, Winkler TW, Ntalla I, Guo X, Franceschini N, Cheng CY, Sim X, Vojinovic D, Marten J, Musani SK, Li C, Bentley AR, Brown MR, Schwander K, Richard MA, Noordam R, Aschard H, Bartz TM, Bielak LF, Dorajoo R, Fisher V, Hartwig FP, Horimoto ARVR, Lohman KK, Manning AK, Rankinen T, Smith AV, Tajuddin SM, Wojczynski MK, Alver M, Boissel M, Cai Q, Campbell A, Chai JF, Chen X, Divers J, Gao C, Goel A, Hagemeijer Y, Harris SE, He M, Hsu FC, Jackson AU, Kähönen M, Kasturiratne A, Komulainen P, Kühnel B, Laguzzi F, Luan J, Matoba N, Nolte IM, Padmanabhan S, Riaz M, Rueedi R, Robino A, Said MA, Scott RA, Sofer T, Stančáková A, Takeuchi F, Tayo BO, van der Most PJ, Varga TV, Vitart V, Wang Y, Ware EB, Warren HR, Weiss S, Wen W, Yanek LR, Zhang W, Zhao JH, Afaq S, Amin N, Amini M, Arking DE, Aung T, Boerwinkle E, Borecki I, Broeckel U, Brown M, Brumat M, Burke GL, Canouil M, Chakravarti A, Charumathi S, Ida Chen YD, Connell JM, Correa A, de Las Fuentes L, de Mutsert R, de Silva HJ, Deng X, Ding J, Duan Q, Eaton CB, Ehret G, Eppinga RN, Evangelou E, Faul JD, Felix SB, Forouhi NG, Forrester T, Franco OH, Friedlander Y, Gandin I, Gao H, Ghanbari M, Gigante B, Gu CC, Gu D, Hagenaars SP, Hallmans G, Harris TB, He J, Heikkinen S, Heng CK, Hirata M, Howard BV, Ikram MA, John U, Katsuya T, Khor CC, Kilpeläinen TO, Koh WP, Krieger JE, Kritchevsky SB, Kubo M, Kuusisto J, Lakka TA, Langefeld CD, Langenberg C, Launer LJ, Lehne B, Lewis CE, Li Y, Lin S, Liu J, Liu J, Loh M, Louie T, Mägi R, McKenzie CA, Meitinger T, Metspalu A, Milaneschi Y, Milani L, Mohlke KL, Momozawa Y, Nalls MA, Nelson CP, Sotoodehnia N, Norris JM, O'Connell JR, Palmer ND, Perls T, Pedersen NL, Peters A, Peyser PA, Poulter N, Raffel LJ, Raitakari OT, Roll K, Rose LM, Rosendaal FR, Rotter JI, Schmidt CO, Schreiner PJ, Schupf N, Scott WR, Sever PS, Shi Y, Sidney S, Sims M, Sitlani CM, Smith JA, Snieder H, Starr JM, Strauch K, Stringham HM, Tan NYQ, Tang H, Taylor KD, Teo YY, Tham YC, Turner ST, Uitterlinden AG, Vollenweider P, Waldenberger M, Wang L, Wang YX, Wei WB, Williams C, Yao J, Yu C, Yuan JM, Zhao W, Zonderman AB, Becker DM, Boehnke M, Bowden DW, Chambers JC, Deary IJ, Esko T, Farrall M, Franks PW, Freedman BI, Froguel P, Gasparini P, Gieger C, Jonas JB, Kamatani Y, Kato N, Kooner JS, Kutalik Z, Laakso M, Laurie CC, Leander K, Lehtimäki T, Study LC, Magnusson PKE, Oldehinkel AJ, Penninx BWJH, Polasek O, Porteous DJ, Rauramaa R, Samani NJ, Scott J, Shu XO, van der Harst P, Wagenknecht LE, Wareham NJ, Watkins H, Weir DR, Wickremasinghe AR, Wu T, Zheng W, Bouchard C, Christensen K, Evans MK, Gudnason V, Horta BL, Kardia SLR, Liu Y, Pereira AC, Psaty BM, Ridker PM, van Dam RM, Gauderman WJ, Zhu X, Mook-Kanamori DO, Fornage M, Rotimi CN, Cupples LA, Kelly TN, Fox ER, Hayward C, van Duijn CM, Tai ES, Wong TY, Kooperberg C, Palmas W, Rice K, Morrison AC, Elliott P, Caulfield MJ, Munroe PB, Rao DC, Province MA, and Levy D
- Subjects
- Adolescent, Adult, Aged, Aged, 80 and over, Cohort Studies, Female, Gene-Environment Interaction, Genetic Predisposition to Disease epidemiology, Genetic Predisposition to Disease genetics, Genome-Wide Association Study, Humans, Male, Middle Aged, Pedigree, Young Adult, Alcohol Drinking epidemiology, Alcohol Drinking genetics, Blood Pressure genetics, Hypertension epidemiology, Hypertension genetics, Polymorphism, Single Nucleotide, Racial Groups genetics, Racial Groups statistics & numerical data
- Abstract
Heavy alcohol consumption is an established risk factor for hypertension; the mechanism by which alcohol consumption impact blood pressure (BP) regulation remains unknown. We hypothesized that a genome-wide association study accounting for gene-alcohol consumption interaction for BP might identify additional BP loci and contribute to the understanding of alcohol-related BP regulation. We conducted a large two-stage investigation incorporating joint testing of main genetic effects and single nucleotide variant (SNV)-alcohol consumption interactions. In Stage 1, genome-wide discovery meta-analyses in ≈131K individuals across several ancestry groups yielded 3,514 SNVs (245 loci) with suggestive evidence of association (P < 1.0 x 10-5). In Stage 2, these SNVs were tested for independent external replication in ≈440K individuals across multiple ancestries. We identified and replicated (at Bonferroni correction threshold) five novel BP loci (380 SNVs in 21 genes) and 49 previously reported BP loci (2,159 SNVs in 109 genes) in European ancestry, and in multi-ancestry meta-analyses (P < 5.0 x 10-8). For African ancestry samples, we detected 18 potentially novel BP loci (P < 5.0 x 10-8) in Stage 1 that warrant further replication. Additionally, correlated meta-analysis identified eight novel BP loci (11 genes). Several genes in these loci (e.g., PINX1, GATA4, BLK, FTO and GABBR2) have been previously reported to be associated with alcohol consumption. These findings provide insights into the role of alcohol consumption in the genetic architecture of hypertension., Competing Interests: The authors have read the journal's policy and the authors of this manuscript have the following competing interests: Bruce M. Psaty (BMP) serves on the DSMB of a clinical trial funded by Zoll Lifecor and on the Steering Committee of the Yale Open Data Access Project funded by Johnson & Johnson. Barbara V. Howard (BVH) has a contract from National Heart, Lung, and Blood Institute (NHLBI). Brenda W.J.H. Penninx (BWJHP) has received research funding (non-related to the work reported here) from Jansen Research and Boehringer Ingelheim. Mike A. Nalls (MAN) is supported by a consulting contract between Data Tecnica International LLC and the National Institute on Aging (NIA), National Institutes of Health (NIH), Bethesda, MD, USA. MAN also consults for Illumina Inc., the Michael J. Fox Foundation, and the University of California Healthcare. MAN also has commercial affiliation with Data Tecnica International, Glen Echo, MD, USA. Mark J. Caulfield (MJC) has commercial affiliation and is Chief Scientist for Genomics England, a UK government company. OHF is supported by grants from Metagenics (on women's health and epigenetics) and from Nestlé (on child health). Peter S. Sever (PSS) is financial supported from several pharmaceutical companies which manufacture either blood pressure lowering or lipid lowering agents, or both, and consultancy fees. Paul W. Franks (PWF) has been a paid consultant in the design of a personalized nutrition trial (PREDICT) as part of a private-public partnership at Kings College London, UK, and has received research support from several pharmaceutical companies as part of European Union Innovative Medicines Initiative (IMI) projects. Terho Lehtimäki (TL) is employed by Fimlab Ltd. Ozren Polašek (OP) is employed by Gen‐info Ltd. There are no patents, products in development, or marked products to declare. All the other authors have declared no competing interests exist. This does not alter the authors' adherence to PLOS ONE policies on sharing data and materials.
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- 2018
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38. Fixed Low-Dose Hydroxyurea for the Treatment of Adults with Sickle Cell Anemia in Nigeria.
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Tayo BO, Akingbola TS, Saraf SL, Shah BN, Ezekekwu CA, Sonubi O, Hsu LL, Cooper RS, and Gordeuk VR
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- 2018
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39. Ambulatory blood pressure threshold for black Africans: more questions than answers.
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Adeoye AM, Tayo BO, Owolabi MO, Adebiyi AA, Lackland DT, Cooper R, Ojo A, and Ogedegbe G
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- Adult, Aged, Cost of Illness, Female, Heart Failure epidemiology, Heart Failure ethnology, Humans, Hypertension complications, Hypertension epidemiology, Hypertension physiopathology, Incidence, Male, Middle Aged, Prevalence, Renal Insufficiency epidemiology, Renal Insufficiency ethnology, Stroke epidemiology, Stroke ethnology, Black People ethnology, Blood Pressure physiology, Blood Pressure Monitoring, Ambulatory methods, Hypertension ethnology
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- 2018
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40. Control procedures and estimators of the false discovery rate and their application in low-dimensional settings: an empirical investigation.
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Brinster R, Köttgen A, Tayo BO, Schumacher M, and Sekula P
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- Algorithms, Computer Simulation, False Positive Reactions, Genome-Wide Association Study, Humans, Polymorphism, Single Nucleotide genetics, Renal Insufficiency, Chronic genetics, Empirical Research
- Abstract
Background: When many (up to millions) of statistical tests are conducted in discovery set analyses such as genome-wide association studies (GWAS), approaches controlling family-wise error rate (FWER) or false discovery rate (FDR) are required to reduce the number of false positive decisions. Some methods were specifically developed in the context of high-dimensional settings and partially rely on the estimation of the proportion of true null hypotheses. However, these approaches are also applied in low-dimensional settings such as replication set analyses that might be restricted to a small number of specific hypotheses. The aim of this study was to compare different approaches in low-dimensional settings using (a) real data from the CKDGen Consortium and (b) a simulation study., Results: In both application and simulation FWER approaches were less powerful compared to FDR control methods, whether a larger number of hypotheses were tested or not. Most powerful was the q-value method. However, the specificity of this method to maintain true null hypotheses was especially decreased when the number of tested hypotheses was small. In this low-dimensional situation, estimation of the proportion of true null hypotheses was biased., Conclusions: The results highlight the importance of a sizeable data set for a reliable estimation of the proportion of true null hypotheses. Consequently, methods relying on this estimation should only be applied in high-dimensional settings. Furthermore, if the focus lies on testing of a small number of hypotheses such as in replication settings, FWER methods rather than FDR methods should be preferred to maintain high specificity.
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- 2018
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41. A Large-Scale Multi-ancestry Genome-wide Study Accounting for Smoking Behavior Identifies Multiple Significant Loci for Blood Pressure.
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Sung YJ, Winkler TW, de Las Fuentes L, Bentley AR, Brown MR, Kraja AT, Schwander K, Ntalla I, Guo X, Franceschini N, Lu Y, Cheng CY, Sim X, Vojinovic D, Marten J, Musani SK, Li C, Feitosa MF, Kilpeläinen TO, Richard MA, Noordam R, Aslibekyan S, Aschard H, Bartz TM, Dorajoo R, Liu Y, Manning AK, Rankinen T, Smith AV, Tajuddin SM, Tayo BO, Warren HR, Zhao W, Zhou Y, Matoba N, Sofer T, Alver M, Amini M, Boissel M, Chai JF, Chen X, Divers J, Gandin I, Gao C, Giulianini F, Goel A, Harris SE, Hartwig FP, Horimoto ARVR, Hsu FC, Jackson AU, Kähönen M, Kasturiratne A, Kühnel B, Leander K, Lee WJ, Lin KH, 'an Luan J, McKenzie CA, Meian H, Nelson CP, Rauramaa R, Schupf N, Scott RA, Sheu WHH, Stančáková A, Takeuchi F, van der Most PJ, Varga TV, Wang H, Wang Y, Ware EB, Weiss S, Wen W, Yanek LR, Zhang W, Zhao JH, Afaq S, Alfred T, Amin N, Arking D, Aung T, Barr RG, Bielak LF, Boerwinkle E, Bottinger EP, Braund PS, Brody JA, Broeckel U, Cabrera CP, Cade B, Caizheng Y, Campbell A, Canouil M, Chakravarti A, Chauhan G, Christensen K, Cocca M, Collins FS, Connell JM, de Mutsert R, de Silva HJ, Debette S, Dörr M, Duan Q, Eaton CB, Ehret G, Evangelou E, Faul JD, Fisher VA, Forouhi NG, Franco OH, Friedlander Y, Gao H, Gigante B, Graff M, Gu CC, Gu D, Gupta P, Hagenaars SP, Harris TB, He J, Heikkinen S, Heng CK, Hirata M, Hofman A, Howard BV, Hunt S, Irvin MR, Jia Y, Joehanes R, Justice AE, Katsuya T, Kaufman J, Kerrison ND, Khor CC, Koh WP, Koistinen HA, Komulainen P, Kooperberg C, Krieger JE, Kubo M, Kuusisto J, Langefeld CD, Langenberg C, Launer LJ, Lehne B, Lewis CE, Li Y, Lim SH, Lin S, Liu CT, Liu J, Liu J, Liu K, Liu Y, Loh M, Lohman KK, Long J, Louie T, Mägi R, Mahajan A, Meitinger T, Metspalu A, Milani L, Momozawa Y, Morris AP, Mosley TH Jr, Munson P, Murray AD, Nalls MA, Nasri U, Norris JM, North K, Ogunniyi A, Padmanabhan S, Palmas WR, Palmer ND, Pankow JS, Pedersen NL, Peters A, Peyser PA, Polasek O, Raitakari OT, Renström F, Rice TK, Ridker PM, Robino A, Robinson JG, Rose LM, Rudan I, Sabanayagam C, Salako BL, Sandow K, Schmidt CO, Schreiner PJ, Scott WR, Seshadri S, Sever P, Sitlani CM, Smith JA, Snieder H, Starr JM, Strauch K, Tang H, Taylor KD, Teo YY, Tham YC, Uitterlinden AG, Waldenberger M, Wang L, Wang YX, Wei WB, Williams C, Wilson G, Wojczynski MK, Yao J, Yuan JM, Zonderman AB, Becker DM, Boehnke M, Bowden DW, Chambers JC, Chen YI, de Faire U, Deary IJ, Esko T, Farrall M, Forrester T, Franks PW, Freedman BI, Froguel P, Gasparini P, Gieger C, Horta BL, Hung YJ, Jonas JB, Kato N, Kooner JS, Laakso M, Lehtimäki T, Liang KW, Magnusson PKE, Newman AB, Oldehinkel AJ, Pereira AC, Redline S, Rettig R, Samani NJ, Scott J, Shu XO, van der Harst P, Wagenknecht LE, Wareham NJ, Watkins H, Weir DR, Wickremasinghe AR, Wu T, Zheng W, Kamatani Y, Laurie CC, Bouchard C, Cooper RS, Evans MK, Gudnason V, Kardia SLR, Kritchevsky SB, Levy D, O'Connell JR, Psaty BM, van Dam RM, Sims M, Arnett DK, Mook-Kanamori DO, Kelly TN, Fox ER, Hayward C, Fornage M, Rotimi CN, Province MA, van Duijn CM, Tai ES, Wong TY, Loos RJF, Reiner AP, Rotter JI, Zhu X, Bierut LJ, Gauderman WJ, Caulfield MJ, Elliott P, Rice K, Munroe PB, Morrison AC, Cupples LA, Rao DC, and Chasman DI
- Subjects
- Cohort Studies, Diastole genetics, Epistasis, Genetic, Female, Humans, Male, Polymorphism, Single Nucleotide genetics, Quantitative Trait Loci genetics, Reproducibility of Results, Systole genetics, Blood Pressure genetics, Genetic Loci, Genome-Wide Association Study, Racial Groups genetics, Smoking genetics
- Abstract
Genome-wide association analysis advanced understanding of blood pressure (BP), a major risk factor for vascular conditions such as coronary heart disease and stroke. Accounting for smoking behavior may help identify BP loci and extend our knowledge of its genetic architecture. We performed genome-wide association meta-analyses of systolic and diastolic BP incorporating gene-smoking interactions in 610,091 individuals. Stage 1 analysis examined ∼18.8 million SNPs and small insertion/deletion variants in 129,913 individuals from four ancestries (European, African, Asian, and Hispanic) with follow-up analysis of promising variants in 480,178 additional individuals from five ancestries. We identified 15 loci that were genome-wide significant (p < 5 × 10
-8 ) in stage 1 and formally replicated in stage 2. A combined stage 1 and 2 meta-analysis identified 66 additional genome-wide significant loci (13, 35, and 18 loci in European, African, and trans-ancestry, respectively). A total of 56 known BP loci were also identified by our results (p < 5 × 10-8 ). Of the newly identified loci, ten showed significant interaction with smoking status, but none of them were replicated in stage 2. Several loci were identified in African ancestry, highlighting the importance of genetic studies in diverse populations. The identified loci show strong evidence for regulatory features and support shared pathophysiology with cardiometabolic and addiction traits. They also highlight a role in BP regulation for biological candidates such as modulators of vascular structure and function (CDKN1B, BCAR1-CFDP1, PXDN, EEA1), ciliopathies (SDCCAG8, RPGRIP1L), telomere maintenance (TNKS, PINX1, AKTIP), and central dopaminergic signaling (MSRA, EBF2)., (Copyright © 2018 American Society of Human Genetics. All rights reserved.)- Published
- 2018
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42. White Paper: Pathways to Progress in Newborn Screening for Sickle Cell Disease in Sub-Saharan Africa.
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Hsu L, Nnodu OE, Brown BJ, Tluway F, King S, Dogara LG, Patil C, Shevkoplyas SS, Lettre G, Cooper RS, Gordeuk VR, and Tayo BO
- Abstract
Sickle Cell Disease (SCD) is among the most common single-gene diseases in the world but evidence-based comprehensive health care has not been implemented where the highest prevalence of SCD occurs, in sub-Saharan Africa (SSA). It represents an urgent health burden, both in terms of mortality and morbidity with an estimated mortality of 8-16% in children under 5 years in SSA. Addressing the high mortality of SCD in SSA and for effective management of SCD, newborn screening (NBS) should be incorporated with prevention of infections (including pneumococcal septicaemia and malaria), parental education and support at all levels of healthcare provision to enable timely recognition. The NBS working group of the Africa Sickle Cell Research Network (AfroSickleNet) collaboration surveyed current projects in NBS in SSA, and current conditions that hinder more widespread implementation of NBS for SCD. Solutions based on new point-of-care testing technology to disseminate education, and implementation science approaches that leverage existing resources are proposed.
- Published
- 2018
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43. Sickle Cell Disease Clinical Trials and Phenotypes.
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Ezekekwu CA, Kotila TR, Akingbola TS, Lettre G, Gordeuk VR, Cooper RS, DeBaun MR, Inusa B, and Tayo BO
- Abstract
Sickle cell disease, one of the world's most common genetic disorders is prevalent in sub-Saharan Africa. The trans-Atlantic slave trade accounted for the gene movement from Africa to the Caribbean and United States of America and lately, migration has resulted in the introduction of the gene to the United Kingdom and other parts of Europe. Different haplotypes exist, however the differences in these haplotypes are not sufficient to explain the different clinical variations within the same region or different settings.
- Published
- 2018
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44. ASSESSMENT OF MEASURES OF ADIPOSITY THAT CORRELATE WITH BLOOD PRESSURE AMONG HYPERTENSIVE AFRICANS.
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Adeoye AM, Adebayo O, Nwosu M, Adebiyi A, Owolabi MO, Tayo BO, Salako BL, Ogunniyi A, and Cooper RS
- Abstract
Background: Studies differ on which anthropometric measure of adiposity shows good correlation with cardiovascular diseases. In this study, we evaluated the effects of common epidemiological measures of adiposity as a correlate of elevated blood pressure in an African population., Methodology: The study was carried out between June 2009 and December 2011 at the medical out-patient department of a tertiary healthcare center in Nigeria. Correlation analysis was used to assess the relationship between blood pressure and body mass index (BMI), waist to height ratio (WHtR), and waist circumference (WC)., Results: A total of 1,416 Hypertensives comprising 1090 (77%) adult females recruited over two and half years. Women were significantly older (49.2±8.1 vs. 48.0±10.0 years, p=0.039) and shorter (1.6±6.3 vs 1.7±6.8 meters, p<0.0001) when compared with men. Blood pressure parameters were comparable between women and men. Approximately 1 out of 5 participants had good blood pressure control with no gender difference. Anthropometric measurements showed that 446(32%) were overweight, 404(29%) obese and 40(3%) were morbidly obese. Compared with their male counterparts, females were significantly more likely to be obese (P<0.0001). Similarly, 51.6% of the subjects had abdominal obesity, with female preponderance (P<0.0001). Likewise, a greater proportion of women had substantially higher measured waist circumference risk. Compared with other measures of adiposity, body mass index correlated best with diastolic blood pressure in both gender (P< 0.05)., Conclusion: This study adds to the evidence that obesity is a major cardiovascular risk factor. BMI, as a measure of adiposity, was found to correlate best with blood pressure. These findings support other observations in other populations that BMI rather than waist to height ratio (WHtR), and waist circumference (WC) is a better correlate of hypertension.
- Published
- 2017
45. The inheritance of juvenile onset primary open angle glaucoma.
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Gupta V, Somarajan BI, Gupta S, Chaurasia AK, Kumar S, Dutta P, Gupta V, Sharma A, Tayo BO, and Nischal K
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- Adolescent, Adult, Age of Onset, Genome-Wide Association Study, Glaucoma, Open-Angle epidemiology, Glaucoma, Open-Angle physiopathology, Humans, India, Intraocular Pressure genetics, Mutation, Optic Disk physiopathology, Young Adult, Cytochrome P-450 CYP1B1 genetics, Cytoskeletal Proteins genetics, Eye Proteins genetics, Genetic Predisposition to Disease, Glaucoma, Open-Angle genetics, Glycoproteins genetics
- Abstract
Juvenile onset open angle glaucoma (JOAG) affects patients before 40 years of age, who present with high intraocular pressure and deep steep cupping of the optic nerve head. While it was considered to be inherited in an autosomal dominant fashion, recent studies have shown an autosomal recessive pattern as well as sporadic occurrence of the disease in several families. In this review, we analyze the genetic basis of the disease along with common mutations and their association with JOAG. We also analyzed the inheritance patterns in a large group of unrelated JOAG patients (n = 336) from Northern India wherein the prevalence of familial occurrence was assessed and segregation analysis performed, to determine the mode of inheritance., (© 2016 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.)
- Published
- 2017
- Full Text
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46. Circadian blood pressure variation amongst people with chronic kidney diseases: A pilot study in Ibadan.
- Author
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Adeoye AM, Raji YR, Adebiyi A, Tayo BO, Salako BL, Ogunniyi A, Ojo A, and Cooper R
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- Adult, Female, Humans, Hypertension complications, Hypertension diagnosis, Longitudinal Studies, Male, Nigeria, Pilot Projects, Renal Insufficiency, Chronic complications, Renal Insufficiency, Chronic diagnosis, Blood Pressure physiology, Blood Pressure Monitoring, Ambulatory, Circadian Rhythm, Hypertension physiopathology, Renal Insufficiency, Chronic physiopathology
- Abstract
Background: Circadian variation in blood pressure (BP) has been shown to determine cardiovascular events in people with chronic kidney diseases (CKDs). Studies aimed at elucidating the relationship between diurnal variation in BP and cardiovascular disease have yielded conflicting results, and very few of these studies have been conducted on CKD patients in Sub-Saharan Africa, hence the need for this study., Subjects and Methods: Eighty-five adult participants comprising 54 patients with CKD (36 males and 18 females) and 31 hypertensive patients (16 males and 15 females) free of CKD were recruited for 24 h ambulatory BP monitoring and cardiovascular risk factor assessment., Results: Patients with CKD had a higher mean clinic systolic BP (159.8 ± 28.6 vs. 147.9 ± 19.0 mmHg, P = 0.049) and reduced estimated glomerular filtration rate (19.2 ± 18.6 vs. 106.2 ± 30.6, P < 0.0001) when compared with hypertensives free of CKD. The mean 24 h ambulatory SBP (135.9 ± 28.5 vs. 120.3 ± 11.8 mmHg, P = 0.007), diastolic BP (82.6 ± 18.1 vs. 74.8 ± 9.0 mmHg, P = 0.034) and mean arterial pressure (100.9 ± 21.2 vs. 90.6 ± 10.2 mmHg, P = 0.018) were higher amongst CKD patients. Compared with hypertensive without CKD, daytime hypertension (58.9% vs. 21.4, P = 0.001), nocturnal hypertension (80.4% vs. 50.0%, P = 0.004) and non-dippers (92.0% vs. 73.1%, P = 0.026) were commoner in people with CKD. White coat effect was more common amongst hypertensives without CKD (74.2% vs. 38.0%, P = 0.002). The mean left atrial diameter and left ventricular mass index were higher in CKD group., Conclusion: This study highlights the high prevalence of varied phenotypes in circadian rhythm amongst CKD patients. Ambulatory blood pressure monitoring may be useful for early risk stratification of CKD patients. Large longitudinal study is needed to assess the prognostic implication of the findings.
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- 2017
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47. Rare coding variants associated with blood pressure variation in 15 914 individuals of African ancestry.
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Nandakumar P, Lee D, Richard MA, Tekola-Ayele F, Tayo BO, Ware E, Sung YJ, Salako B, Ogunniyi A, Gu CC, Grove ML, Fornage M, Kardia S, Rotimi C, Cooper RS, Morrison AC, Ehret G, and Chakravarti A
- Subjects
- Cardiovascular Diseases genetics, Cohort Studies, Exome, Humans, Risk Factors, Black or African American, Black People genetics, Blood Pressure genetics, Genetic Variation, Genotype, Hypertension genetics
- Abstract
Objectives: Hypertension is a major risk factor for all cardiovascular diseases, especially among African Americans. This study focuses on identifying specific blood pressure (BP) genes using 15 914 individuals of African ancestry from eight cohorts (Africa America Diabetes Mellitus, Atherosclerosis Risk in Communities Study, Coronary Artery Risk Development in young Adults, Genetics Network, Genetic Epidemiology Network of Arteriopathy, Howard University Family Study, Hypertension Genetic Epidemiology Network, and Loyola University Chicago Cohort) to further genetic findings in this population which has generally been underrepresented in BP studies., Methods: We genotyped and performed various single variant and gene-based exome-wide analyses on 15 914 individuals on the Illumina HumanExome Beadchip v1.0 or v1.1 to test association with SBP and DBP long-term average residuals that were adjusted for age, age-squared, sex, and BMI., Results: We identified rare variants affecting SBP and DBP in 10 genes: AFF1, GAPDHS, SLC28A3, COL6A1, CRYBA2, KRBA1, SEL1L3, YOD1, CCDC13, and QSOX1. Prior experimental evidence for six of these 10 candidate genes supports their involvement in cardiovascular mechanisms, corroborating their potential roles in BP regulation., Conclusion: Although our results require replication or validation due to their low numbers of carriers, and an ethnicity-specific genotyping array may be more informative, this study, which has identified several candidate genes in this population most susceptible to hypertension, presents one of the largest African-ancestry BP studies to date and the largest including analysis of rare variants.
- Published
- 2017
- Full Text
- View/download PDF
48. Single-trait and multi-trait genome-wide association analyses identify novel loci for blood pressure in African-ancestry populations.
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Liang J, Le TH, Edwards DRV, Tayo BO, Gaulton KJ, Smith JA, Lu Y, Jensen RA, Chen G, Yanek LR, Schwander K, Tajuddin SM, Sofer T, Kim W, Kayima J, McKenzie CA, Fox E, Nalls MA, Young JH, Sun YV, Lane JM, Cechova S, Zhou J, Tang H, Fornage M, Musani SK, Wang H, Lee J, Adeyemo A, Dreisbach AW, Forrester T, Chu PL, Cappola A, Evans MK, Morrison AC, Martin LW, Wiggins KL, Hui Q, Zhao W, Jackson RD, Ware EB, Faul JD, Reiner AP, Bray M, Denny JC, Mosley TH, Palmas W, Guo X, Papanicolaou GJ, Penman AD, Polak JF, Rice K, Taylor KD, Boerwinkle E, Bottinger EP, Liu K, Risch N, Hunt SC, Kooperberg C, Zonderman AB, Laurie CC, Becker DM, Cai J, Loos RJF, Psaty BM, Weir DR, Kardia SLR, Arnett DK, Won S, Edwards TL, Redline S, Cooper RS, Rao DC, Rotter JI, Rotimi C, Levy D, Chakravarti A, Zhu X, and Franceschini N
- Subjects
- Black or African American genetics, Animals, Basic Helix-Loop-Helix Transcription Factors genetics, Cadherins genetics, Case-Control Studies, Female, Genome-Wide Association Study, Humans, Hypertension ethnology, Male, Membrane Proteins genetics, Mice, Polymorphism, Single Nucleotide, Blood Pressure genetics, Genetic Loci, Hypertension genetics, Multifactorial Inheritance
- Abstract
Hypertension is a leading cause of global disease, mortality, and disability. While individuals of African descent suffer a disproportionate burden of hypertension and its complications, they have been underrepresented in genetic studies. To identify novel susceptibility loci for blood pressure and hypertension in people of African ancestry, we performed both single and multiple-trait genome-wide association analyses. We analyzed 21 genome-wide association studies comprised of 31,968 individuals of African ancestry, and validated our results with additional 54,395 individuals from multi-ethnic studies. These analyses identified nine loci with eleven independent variants which reached genome-wide significance (P < 1.25×10-8) for either systolic and diastolic blood pressure, hypertension, or for combined traits. Single-trait analyses identified two loci (TARID/TCF21 and LLPH/TMBIM4) and multiple-trait analyses identified one novel locus (FRMD3) for blood pressure. At these three loci, as well as at GRP20/CDH17, associated variants had alleles common only in African-ancestry populations. Functional annotation showed enrichment for genes expressed in immune and kidney cells, as well as in heart and vascular cells/tissues. Experiments driven by these findings and using angiotensin-II induced hypertension in mice showed altered kidney mRNA expression of six genes, suggesting their potential role in hypertension. Our study provides new evidence for genes related to hypertension susceptibility, and the need to study African-ancestry populations in order to identify biologic factors contributing to hypertension.
- Published
- 2017
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49. Genome-wide meta-analysis of 241,258 adults accounting for smoking behaviour identifies novel loci for obesity traits.
- Author
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Justice AE, Winkler TW, Feitosa MF, Graff M, Fisher VA, Young K, Barata L, Deng X, Czajkowski J, Hadley D, Ngwa JS, Ahluwalia TS, Chu AY, Heard-Costa NL, Lim E, Perez J, Eicher JD, Kutalik Z, Xue L, Mahajan A, Renström F, Wu J, Qi Q, Ahmad S, Alfred T, Amin N, Bielak LF, Bonnefond A, Bragg J, Cadby G, Chittani M, Coggeshall S, Corre T, Direk N, Eriksson J, Fischer K, Gorski M, Neergaard Harder M, Horikoshi M, Huang T, Huffman JE, Jackson AU, Justesen JM, Kanoni S, Kinnunen L, Kleber ME, Komulainen P, Kumari M, Lim U, Luan J, Lyytikäinen LP, Mangino M, Manichaikul A, Marten J, Middelberg RPS, Müller-Nurasyid M, Navarro P, Pérusse L, Pervjakova N, Sarti C, Smith AV, Smith JA, Stančáková A, Strawbridge RJ, Stringham HM, Sung YJ, Tanaka T, Teumer A, Trompet S, van der Laan SW, van der Most PJ, Van Vliet-Ostaptchouk JV, Vedantam SL, Verweij N, Vink JM, Vitart V, Wu Y, Yengo L, Zhang W, Hua Zhao J, Zimmermann ME, Zubair N, Abecasis GR, Adair LS, Afaq S, Afzal U, Bakker SJL, Bartz TM, Beilby J, Bergman RN, Bergmann S, Biffar R, Blangero J, Boerwinkle E, Bonnycastle LL, Bottinger E, Braga D, Buckley BM, Buyske S, Campbell H, Chambers JC, Collins FS, Curran JE, de Borst GJ, de Craen AJM, de Geus EJC, Dedoussis G, Delgado GE, den Ruijter HM, Eiriksdottir G, Eriksson AL, Esko T, Faul JD, Ford I, Forrester T, Gertow K, Gigante B, Glorioso N, Gong J, Grallert H, Grammer TB, Grarup N, Haitjema S, Hallmans G, Hamsten A, Hansen T, Harris TB, Hartman CA, Hassinen M, Hastie ND, Heath AC, Hernandez D, Hindorff L, Hocking LJ, Hollensted M, Holmen OL, Homuth G, Jan Hottenga J, Huang J, Hung J, Hutri-Kähönen N, Ingelsson E, James AL, Jansson JO, Jarvelin MR, Jhun MA, Jørgensen ME, Juonala M, Kähönen M, Karlsson M, Koistinen HA, Kolcic I, Kolovou G, Kooperberg C, Krämer BK, Kuusisto J, Kvaløy K, Lakka TA, Langenberg C, Launer LJ, Leander K, Lee NR, Lind L, Lindgren CM, Linneberg A, Lobbens S, Loh M, Lorentzon M, Luben R, Lubke G, Ludolph-Donislawski A, Lupoli S, Madden PAF, Männikkö R, Marques-Vidal P, Martin NG, McKenzie CA, McKnight B, Mellström D, Menni C, Montgomery GW, Musk AB, Narisu N, Nauck M, Nolte IM, Oldehinkel AJ, Olden M, Ong KK, Padmanabhan S, Peyser PA, Pisinger C, Porteous DJ, Raitakari OT, Rankinen T, Rao DC, Rasmussen-Torvik LJ, Rawal R, Rice T, Ridker PM, Rose LM, Bien SA, Rudan I, Sanna S, Sarzynski MA, Sattar N, Savonen K, Schlessinger D, Scholtens S, Schurmann C, Scott RA, Sennblad B, Siemelink MA, Silbernagel G, Slagboom PE, Snieder H, Staessen JA, Stott DJ, Swertz MA, Swift AJ, Taylor KD, Tayo BO, Thorand B, Thuillier D, Tuomilehto J, Uitterlinden AG, Vandenput L, Vohl MC, Völzke H, Vonk JM, Waeber G, Waldenberger M, Westendorp RGJ, Wild S, Willemsen G, Wolffenbuttel BHR, Wong A, Wright AF, Zhao W, Zillikens MC, Baldassarre D, Balkau B, Bandinelli S, Böger CA, Boomsma DI, Bouchard C, Bruinenberg M, Chasman DI, Chen YD, Chines PS, Cooper RS, Cucca F, Cusi D, Faire U, Ferrucci L, Franks PW, Froguel P, Gordon-Larsen P, Grabe HJ, Gudnason V, Haiman CA, Hayward C, Hveem K, Johnson AD, Wouter Jukema J, Kardia SLR, Kivimaki M, Kooner JS, Kuh D, Laakso M, Lehtimäki T, Marchand LL, März W, McCarthy MI, Metspalu A, Morris AP, Ohlsson C, Palmer LJ, Pasterkamp G, Pedersen O, Peters A, Peters U, Polasek O, Psaty BM, Qi L, Rauramaa R, Smith BH, Sørensen TIA, Strauch K, Tiemeier H, Tremoli E, van der Harst P, Vestergaard H, Vollenweider P, Wareham NJ, Weir DR, Whitfield JB, Wilson JF, Tyrrell J, Frayling TM, Barroso I, Boehnke M, Deloukas P, Fox CS, Hirschhorn JN, Hunter DJ, Spector TD, Strachan DP, van Duijn CM, Heid IM, Mohlke KL, Marchini J, Loos RJF, Kilpeläinen TO, Liu CT, Borecki IB, North KE, and Cupples LA
- Subjects
- Adiposity genetics, Adult, Body Fat Distribution, Body Mass Index, Epistasis, Genetic, Humans, Phenotype, Polymorphism, Single Nucleotide, Waist Circumference genetics, Waist-Hip Ratio, Genetic Predisposition to Disease genetics, Genome-Wide Association Study methods, Obesity genetics, Quantitative Trait Loci genetics, Smoking genetics
- Abstract
Few genome-wide association studies (GWAS) account for environmental exposures, like smoking, potentially impacting the overall trait variance when investigating the genetic contribution to obesity-related traits. Here, we use GWAS data from 51,080 current smokers and 190,178 nonsmokers (87% European descent) to identify loci influencing BMI and central adiposity, measured as waist circumference and waist-to-hip ratio both adjusted for BMI. We identify 23 novel genetic loci, and 9 loci with convincing evidence of gene-smoking interaction (GxSMK) on obesity-related traits. We show consistent direction of effect for all identified loci and significance for 18 novel and for 5 interaction loci in an independent study sample. These loci highlight novel biological functions, including response to oxidative stress, addictive behaviour, and regulatory functions emphasizing the importance of accounting for environment in genetic analyses. Our results suggest that tobacco smoking may alter the genetic susceptibility to overall adiposity and body fat distribution.
- Published
- 2017
- Full Text
- View/download PDF
50. Associations of α-thalassemia and BCL11A with stroke in Nigerian, United States, and United Kingdom sickle cell anemia cohorts.
- Author
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Saraf SL, Akingbola TS, Shah BN, Ezekekwu CA, Sonubi O, Zhang X, Hsu LL, Gladwin MT, Machado RF, Cooper RS, Gordeuk VR, and Tayo BO
- Abstract
Alpha-thalassemia and the BCL11A rs1427407 T allele are commonly observed in sickle cell anemia (SCA) patients and are associated with reduced hemolysis and higher hemoglobin F levels, respectively. We investigated whether a high-risk genetic profile, defined as SCA patients who did not inherit either α-thalassemia or the BCL11A rs1427407 T allele, had stronger associations with clinical and laboratory variables than the individual genetic components in the University of Ibadan cohort (n=249). We then replicated our findings in SCA cohorts from the University of Illinois at Chicago (UIC)(n=260) and Walk-Treatment of Pulmonary Hypertension and Sickle cell disease with Sildenafil Therapy (Walk-PHaSST)(n=387). High-risk was associated with higher reticulocytes (15.0% vs. 7.8%, P =0.08) and stroke history (6% vs. 1%, P =0.02) than standard risk patients and these associations were more significant than the individual genetic components in the University of Ibadan cohort. These findings were replicated in high-risk patients from UIC and Walk-PHaSST for reticulocytes (UIC: 13.5% vs. 11.8%, P =0.03; Walk-PHaSST: 9.6% vs. 8.2%, P =0.0003) and stroke history (UIC: 32% vs. 22%, P =0.07; Walk-PHaSST: 14% vs. 7%, P =0.01). On combined analysis, high-risk had strong associations with increased markers of hemolysis (hemoglobin β= -0.29, 95%CI: -0.50 to -0.09; P =0.006; reticulocyte% β=2.29, 95%CI: 1.31 to 3.25; P =1x10
-5 ) and stroke history (OR=2.0, 95%CI: 1.3 to 3.0; P =0.0002), but no association with frequent vaso-occlusive crises (≥3/year). A high-risk genetic profile is associated with increased hemolysis and stroke history in three independent cohorts. This profile may help identify patients to prioritize for hydroxyurea and for closer monitoring strategies for stroke., Competing Interests: Disclosure of Conflicts of Interest: The authors declare no competing financial interests.- Published
- 2017
- Full Text
- View/download PDF
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